2 * Copyright 2002, 2004, 2005, 2006, 2007, 2008, 2009 David Hilvert <dhilvert@gmail.com>
4 * This file is part of libale.
6 * libale is free software: you can redistribute it and/or modify it under the
7 * terms of the GNU Affero General Public License as published by the Free
8 * Software Foundation, either version 3 of the License, or (at your option)
11 * libale is distributed in the hope that it will be useful, but WITHOUT ANY
12 * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
13 * FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for
16 * You should have received a copy of the GNU Affero General Public License
17 * along with libale. If not, see <http://www.gnu.org/licenses/>.
26 #warning raw imported code should be revised for Libale.
29 /* XXX: Raw import of code from ALE.
35 * This structure contains alignment state information. The change
36 * between the non-default old initial alignment and old final
37 * alignment is used to adjust the non-default current initial
38 * alignment. If either the old or new initial alignment is a default
39 * alignment, the old --follow semantics are preserved.
43 ale_trans old_initial_alignment
;
44 ale_trans old_final_alignment
;
45 ale_trans default_initial_alignment
;
47 std::vector
<int> is_default
;
48 ale_image input_frame
;
54 old_initial_alignment
= ale_new_trans(accel::context(), NULL
);
55 old_final_alignment
= ale_new_trans(accel::context(), NULL
);
56 default_initial_alignment
= ale_new_trans(accel::context(), NULL
);
63 ale_image
get_input_frame() const {
67 void set_is_default(unsigned int index
, int value
) {
70 * Expand the array, if necessary.
72 if (index
== is_default
.size());
73 is_default
.resize(index
+ 1);
75 assert (index
< is_default
.size());
76 is_default
[index
] = value
;
79 int get_is_default(unsigned int index
) {
80 assert (index
< is_default
.size());
81 return is_default
[index
];
84 ale_trans
get_default() {
85 return default_initial_alignment
;
88 void set_default(ale_trans t
) {
89 default_initial_alignment
= t
;
92 void default_set_original_bounds(ale_image i
) {
93 ale_trans_set_original_bounds(default_initial_alignment
, i
);
96 void set_final(ale_trans t
) {
97 old_final_alignment
= t
;
100 void set_input_frame(ale_image i
) {
105 * Implement new delta --follow semantics.
107 * If we have a transformation T such that
109 * prev_final == T(prev_init)
113 * current_init_follow == T(current_init)
115 * We can calculate T as follows:
117 * T == prev_final(prev_init^-1)
119 * Where ^-1 is the inverse operator.
121 static trans_single
follow(trans_single a
, trans_single b
, trans_single c
) {
124 if (alignment_class
== 0) {
126 * Translational transformations
129 ale_pos t0
= -a
.eu_get(0) + b
.eu_get(0);
130 ale_pos t1
= -a
.eu_get(1) + b
.eu_get(1);
135 } else if (alignment_class
== 1) {
137 * Euclidean transformations
140 ale_pos t2
= -a
.eu_get(2) + b
.eu_get(2);
144 point
p( c
.scaled_height()/2 + c
.eu_get(0) - a
.eu_get(0),
145 c
.scaled_width()/2 + c
.eu_get(1) - a
.eu_get(1) );
147 p
= b
.transform_scaled(p
);
149 cc
.eu_modify(0, p
[0] - c
.scaled_height()/2 - c
.eu_get(0));
150 cc
.eu_modify(1, p
[1] - c
.scaled_width()/2 - c
.eu_get(1));
152 } else if (alignment_class
== 2) {
154 * Projective transformations
159 p
[0] = b
.transform_scaled(a
160 . scaled_inverse_transform(c
.transform_scaled(point( 0 , 0 ))));
161 p
[1] = b
.transform_scaled(a
162 . scaled_inverse_transform(c
.transform_scaled(point(c
.scaled_height(), 0 ))));
163 p
[2] = b
.transform_scaled(a
164 . scaled_inverse_transform(c
.transform_scaled(point(c
.scaled_height(), c
.scaled_width()))));
165 p
[3] = b
.transform_scaled(a
166 . scaled_inverse_transform(c
.transform_scaled(point( 0 , c
.scaled_width()))));
175 * For multi-alignment following, we use the following approach, not
176 * guaranteed to work with large changes in scene or perspective, but
177 * which should be somewhat flexible:
181 * t[][] calculated final alignments
182 * s[][] alignments as loaded from file
185 * fundamental (primary) 0
186 * non-fundamental (non-primary) m!=0
188 * follow(a, b, c) applying the (a, b) delta T=b(a^-1) to c
190 * following in the case of missing file data might be generated by
192 * t[n+1][0] = t[n][0]
193 * t[n+1][m!=0] = follow(t[n][m'], t[n+1][m'], t[n][m])
195 * cases with all noted file data present might be generated by
197 * t[n+1][0] = follow(s[n][0], t[n][0], s[n+1][0])
198 * t[n+1][m!=0] = follow(s[n+1][m'], t[n+1][m'], s[n+1][m])
200 * For non-following behavior, or where assigning the above is
201 * impossible, we assign the following default
203 * t[n+1][0] = Identity
204 * t[n+1][m!=0] = t[n+1][m']
207 void init_frame_alignment_primary(transformation
*offset
, int lod
, ale_pos perturb
) {
209 if (perturb
> 0 && !old_is_default
&& !get_is_default(0)
210 && default_initial_alignment_type
== 1) {
213 * Apply following logic for the primary element.
216 ui::get()->following();
218 trans_single new_offset
= follow(old_initial_alignment
.get_element(0),
219 old_final_alignment
.get_element(0),
220 offset
->get_element(0));
222 old_initial_alignment
= *offset
;
224 offset
->set_element(0, new_offset
);
226 ui::get()->set_offset(new_offset
);
228 old_initial_alignment
= *offset
;
231 is_default
.resize(old_initial_alignment
.stack_depth());
234 void init_frame_alignment_nonprimary(transformation
*offset
,
235 int lod
, ale_pos perturb
, unsigned int index
) {
239 unsigned int parent_index
= offset
->parent_index(index
);
242 && !get_is_default(parent_index
)
243 && !get_is_default(index
)
244 && default_initial_alignment_type
== 1) {
247 * Apply file-based following logic for the
251 ui::get()->following();
253 trans_single new_offset
= follow(old_initial_alignment
.get_element(parent_index
),
254 offset
->get_element(parent_index
),
255 offset
->get_element(index
));
257 old_initial_alignment
.set_element(index
, offset
->get_element(index
));
258 offset
->set_element(index
, new_offset
);
260 ui::get()->set_offset(new_offset
);
265 offset
->get_coordinate(parent_index
);
269 && old_final_alignment
.exists(offset
->get_coordinate(parent_index
))
270 && old_final_alignment
.exists(offset
->get_current_coordinate())
271 && default_initial_alignment_type
== 1) {
274 * Apply nonfile-based following logic for
278 ui::get()->following();
281 * XXX: Although it is different, the below
282 * should be equivalent to the comment
286 trans_single a
= old_final_alignment
.get_element(offset
->get_coordinate(parent_index
));
287 trans_single b
= old_final_alignment
.get_element(offset
->get_current_coordinate());
288 trans_single c
= offset
->get_element(parent_index
);
290 trans_single new_offset
= follow(a
, b
, c
);
292 offset
->set_element(index
, new_offset
);
293 ui::get()->set_offset(new_offset
);
299 * Handle other cases.
302 if (get_is_default(index
)) {
303 offset
->set_element(index
, offset
->get_element(parent_index
));
304 ui::get()->set_offset(offset
->get_element(index
));
308 void init_default() {
310 if (default_initial_alignment_type
== 0) {
313 * Follow the transformation of the original frame,
314 * setting new image dimensions.
317 // astate->default_initial_alignment = orig_t;
318 default_initial_alignment
.set_current_element(orig_t
.get_element(0));
319 default_initial_alignment
.set_dimensions(input_frame
);
321 } else if (default_initial_alignment_type
== 1)
324 * Follow previous transformation, setting new image
328 default_initial_alignment
.set_dimensions(input_frame
);
333 old_is_default
= get_is_default(0);
338 static struct scale_cluster
*init_clusters(int frame
, ale_pos scale_factor
,
339 const image
*input_frame
, unsigned int steps
,
340 int *local_ax_count
) {
343 * Allocate memory for the array.
346 struct scale_cluster
*scale_clusters
=
347 (struct scale_cluster
*) malloc(steps
* sizeof(struct scale_cluster
));
349 assert (scale_clusters
);
352 ui::get()->memory_error("alignment");
355 * Prepare images and exclusion regions for the highest level
359 scale_clusters
[0].accum
= reference_image
;
361 ui::get()->constructing_lod_clusters(0.0);
362 scale_clusters
[0].input_scale
= scale_factor
;
363 if (scale_factor
< 1.0 && interpolant
== NULL
)
364 scale_clusters
[0].input
= input_frame
->scale(scale_factor
, "alignment");
366 scale_clusters
[0].input
= input_frame
;
368 scale_clusters
[0].certainty
= reference_defined
;
369 scale_clusters
[0].aweight
= alignment_weights
;
370 scale_clusters
[0].ax_parameters
= filter_ax_parameters(frame
, local_ax_count
);
373 * Allocate and determine input frame certainty.
376 if (scale_clusters
[0].input
->get_bayer() != IMAGE_BAYER_NONE
) {
377 scale_clusters
[0].input_certainty
= new_image_bayer_ale_real(
378 scale_clusters
[0].input
->height(),
379 scale_clusters
[0].input
->width(),
380 scale_clusters
[0].input
->depth(),
381 scale_clusters
[0].input
->get_bayer());
383 scale_clusters
[0].input_certainty
= scale_clusters
[0].input
->clone("certainty");
386 for (unsigned int i
= 0; i
< scale_clusters
[0].input_certainty
->height(); i
++)
387 for (unsigned int j
= 0; j
< scale_clusters
[0].input_certainty
->width(); j
++)
388 for (unsigned int k
= 0; k
< 3; k
++)
389 if (scale_clusters
[0].input
->get_channels(i
, j
) & (1 << k
))
390 ((image
*) scale_clusters
[0].input_certainty
)->set_chan(i
, j
, k
,
391 scale_clusters
[0].input
->
392 exp().confidence(scale_clusters
[0].input
->get_pixel(i
, j
))[k
]);
394 scale_ax_parameters(*local_ax_count
, scale_clusters
[0].ax_parameters
, scale_factor
,
395 (scale_factor
< 1.0 && interpolant
== NULL
) ? scale_factor
: (ale_pos
) 1);
397 init_nl_cluster(&(scale_clusters
[0]));
400 * Prepare reduced-detail images and exclusion
404 for (unsigned int step
= 1; step
< steps
; step
++) {
405 ui::get()->constructing_lod_clusters(step
);
406 scale_clusters
[step
].accum
= prepare_lod(scale_clusters
[step
- 1].accum
);
407 scale_clusters
[step
].certainty
= prepare_lod_def(scale_clusters
[step
- 1].certainty
);
408 scale_clusters
[step
].aweight
= prepare_lod_def(scale_clusters
[step
- 1].aweight
);
409 scale_clusters
[step
].ax_parameters
410 = copy_ax_parameters(*local_ax_count
, scale_clusters
[step
- 1].ax_parameters
);
412 double sf
= scale_clusters
[step
- 1].input_scale
/ 2;
413 scale_clusters
[step
].input_scale
= sf
;
415 if (sf
>= 1.0 || interpolant
!= NULL
) {
416 scale_clusters
[step
].input
= scale_clusters
[step
- 1].input
;
417 scale_clusters
[step
].input_certainty
= scale_clusters
[step
- 1].input_certainty
;
418 scale_ax_parameters(*local_ax_count
, scale_clusters
[step
].ax_parameters
, 0.5, 1);
419 } else if (sf
> 0.5) {
420 scale_clusters
[step
].input
= scale_clusters
[step
- 1].input
->scale(sf
, "alignment");
421 scale_clusters
[step
].input_certainty
= scale_clusters
[step
- 1].input
->scale(sf
, "alignment", 1);
422 scale_ax_parameters(*local_ax_count
, scale_clusters
[step
].ax_parameters
, 0.5, sf
);
424 scale_clusters
[step
].input
= scale_clusters
[step
- 1].input
->scale(0.5, "alignment");
425 scale_clusters
[step
].input_certainty
= scale_clusters
[step
- 1].input_certainty
->scale(0.5, "alignment", 1);
426 scale_ax_parameters(*local_ax_count
, scale_clusters
[step
].ax_parameters
, 0.5, 0.5);
429 init_nl_cluster(&(scale_clusters
[step
]));
432 return scale_clusters
;
435 static diff_stat_t
_align_element(ale_pos perturb
, ale_pos local_lower
,
436 scale_cluster
*scale_clusters
, diff_stat_t here
,
437 ale_pos adj_p
, ale_pos adj_o
, ale_pos adj_b
,
438 ale_pos
*current_bd
, ale_pos
*modified_bd
,
439 astate_t
*astate
, int lod
, scale_cluster si
) {
442 * Run initial tests to get perturbation multipliers and error
446 std::vector
<d2::trans_single
> t_set
;
448 here
.get_perturb_set(&t_set
, adj_p
, adj_o
, adj_b
, current_bd
, modified_bd
);
450 int stable_count
= 0;
452 while (perturb
>= local_lower
) {
454 ui::get()->alignment_dims(scale_clusters
[lod
].accum
->height(), scale_clusters
[lod
].accum
->width(),
455 scale_clusters
[lod
].input
->height(), scale_clusters
[lod
].input
->width());
458 * Orientational adjustment value in degrees.
460 * Since rotational perturbation is now specified as an
461 * arclength, we have to convert.
464 ale_pos adj_o
= 2 * (double) perturb
465 / sqrt(pow(scale_clusters
[0].input
->height(), 2)
466 + pow(scale_clusters
[0].input
->width(), 2))
471 * Barrel distortion adjustment value
474 ale_pos adj_b
= perturb
* bda_mult
;
476 trans_single old_offset
= here
.get_offset();
478 here
.perturb_test(perturb
, adj_p
, adj_o
, adj_b
, current_bd
, modified_bd
,
481 if (here
.get_offset() == old_offset
)
486 if (stable_count
== 3) {
493 && lod
> lrint(log(perturb
) / log(2)) - lod_preferred
) {
496 * Work with images twice as large
500 si
= scale_clusters
[lod
];
503 * Rescale the transforms.
506 ale_pos rescale_factor
= (double) scale_factor
507 / (double) pow(2, lod
)
508 / (double) here
.get_offset().scale();
510 here
.rescale(rescale_factor
, si
);
513 adj_p
= perturb
/ pow(2, lod
);
520 ui::get()->alignment_perturbation_level(perturb
, lod
);
523 ui::get()->set_match(here
.get_error());
524 ui::get()->set_offset(here
.get_offset());
528 ale_pos rescale_factor
= (double) scale_factor
529 / (double) here
.get_offset().scale();
531 here
.rescale(rescale_factor
, scale_clusters
[0]);
538 * Align frame m against the reference.
540 * XXX: the transformation class currently combines ordinary
541 * transformations with scaling. This is somewhat convenient for
542 * some things, but can also be confusing. This method, _align(), is
543 * one case where special care must be taken to ensure that the scale
544 * is always set correctly (by using the 'rescale' method).
546 static diff_stat_multi
_align(int m
, int local_gs
, astate_t
*astate
) {
548 const image
*input_frame
= astate
->get_input_frame();
551 * Local upper/lower data, possibly dependent on image
555 ale_pos local_lower
, local_upper
;
556 ale_accum local_gs_mo
;
559 * Select the minimum dimension as the reference.
562 ale_pos reference_size
= input_frame
->height();
563 if (input_frame
->width() < reference_size
)
564 reference_size
= input_frame
->width();
565 ale_accum reference_area
= input_frame
->height()
566 * input_frame
->width();
568 if (perturb_lower_percent
)
569 local_lower
= (double) perturb_lower
570 * (double) reference_size
572 * (double) scale_factor
;
574 local_lower
= perturb_lower
;
576 if (perturb_upper_percent
)
577 local_upper
= (double) perturb_upper
578 * (double) reference_size
580 * (double) scale_factor
;
582 local_upper
= perturb_upper
;
584 local_upper
= pow(2, floor(log(local_upper
) / log(2)));
587 local_gs_mo
= (double) _gs_mo
588 * (double) reference_area
590 * (double) scale_factor
;
592 local_gs_mo
= _gs_mo
;
595 * Logarithms aren't exact, so we divide repeatedly to discover
596 * how many steps will occur, and pass this information to the
601 double step_variable
= local_upper
;
602 while (step_variable
>= local_lower
) {
607 ale_pos perturb
= local_upper
;
610 kept_t
[latest
] = latest_t
;
611 kept_ok
[latest
] = latest_ok
;
615 * Determine how many levels of detail should be prepared, by
616 * calculating the initial (largest) value for the
617 * level-of-detail variable.
620 int lod
= lrint(log(perturb
) / log(2)) - lod_preferred
;
625 while (lod
> 0 && (reference_image
->width() < pow(2, lod
) * min_dimension
626 || reference_image
->height() < pow(2, lod
) * min_dimension
))
629 unsigned int steps
= (unsigned int) lod
+ 1;
632 * Prepare multiple levels of detail.
636 struct scale_cluster
*scale_clusters
= init_clusters(m
,
637 scale_factor
, input_frame
, steps
,
641 * Initialize the default initial transform
644 astate
->init_default();
647 * Set the default transformation.
650 transformation offset
= astate
->get_default();
653 * Establish boundaries
656 offset
.set_current_bounds(reference_image
);
658 ui::get()->alignment_degree_max(offset
.get_coordinate(offset
.stack_depth() - 1).degree
);
660 if (offset
.stack_depth() == 1) {
661 ui::get()->set_steps(step_count
, 0);
663 ui::get()->set_steps(offset
.get_coordinate(offset
.stack_depth() - 1).degree
+ 1, 1);
667 * Load any file-specified transformations
670 for (unsigned int index
= 0; index
< offset
.stack_depth(); index
++) {
672 unsigned int index_2
;
673 offset
.set_current_index(index
);
675 offset
= tload_next(tload
, alignment_class
== 2,
677 &is_default
, offset
.get_current_index() == 0);
679 index_2
= offset
.get_current_index();
681 if (index_2
> index
) {
682 for (unsigned int index_3
= index
; index_3
< index_2
; index_3
++)
683 astate
->set_is_default(index_3
, 1);
688 astate
->set_is_default(index
, is_default
);
691 offset
.set_current_index(0);
693 astate
->init_frame_alignment_primary(&offset
, lod
, perturb
);
696 * Control point alignment
701 transformation o
= offset
;
704 * Determine centroid data
707 point current
, previous
;
708 centroids(m
, ¤t
, &previous
);
710 if (current
.defined() && previous
.defined()) {
712 o
.set_dimensions(input_frame
);
713 o
.translate((previous
- current
) * o
.scale());
718 * Determine rotation for alignment classes other than translation.
721 ale_pos lowest_error
= cp_rms_error(m
, o
);
723 ale_pos rot_lower
= 2 * (double) local_lower
724 / sqrt(pow(scale_clusters
[0].input
->height(), 2)
725 + pow(scale_clusters
[0].input
->width(), 2))
729 if (alignment_class
> 0)
730 for (double rot
= 30; rot
> rot_lower
; rot
/= 2)
731 for (double srot
= -rot
; srot
< rot
* 1.5; srot
+= rot
* 2) {
733 while (is_improved
) {
735 transformation test_t
= o
;
737 * XXX: is this right?
739 test_t
.rotate(current
* o
.scale(), srot
);
740 ale_pos test_v
= cp_rms_error(m
, test_t
);
742 if (test_v
< lowest_error
) {
743 lowest_error
= test_v
;
752 * Determine projective parameters through a local
756 if (alignment_class
== 2) {
757 ale_pos adj_p
= lowest_error
;
759 if (adj_p
< local_lower
)
762 while (adj_p
>= local_lower
) {
763 transformation test_t
= o
;
768 while (is_improved
) {
771 for (int i
= 0; i
< 4; i
++)
772 for (int j
= 0; j
< 2; j
++)
773 for (adj_s
= -adj_p
; adj_s
<= adj_p
; adj_s
+= 2 * adj_p
) {
777 if (perturb_type
== 0)
778 test_t
.gpt_modify(j
, i
, adj_s
);
779 else if (perturb_type
== 1)
780 test_t
.gr_modify(j
, i
, adj_s
);
784 test_v
= cp_rms_error(m
, test_t
);
786 if (test_v
< lowest_error
) {
787 lowest_error
= test_v
;
800 * Pre-alignment exposure adjustment
804 ui::get()->exposure_1();
805 set_exposure_ratio(m
, scale_clusters
[0], offset
, local_ax_count
, 0);
809 * Scale transform for lod
812 for (int lod_
= 0; lod_
< lod
; lod_
++) {
813 transformation s
= offset
;
814 transformation t
= offset
;
816 t
.rescale(1 / (double) 2);
818 if (!(t
.scaled_height() > 0 && t
.scaled_height() < s
.scaled_height())
819 || !(t
.scaled_width() > 0 && t
.scaled_width() < s
.scaled_width())) {
820 perturb
/= pow(2, lod
- lod_
);
828 ui::get()->set_offset(offset
);
830 struct scale_cluster si
= scale_clusters
[lod
];
833 * Projective adjustment value
836 ale_pos adj_p
= perturb
/ pow(2, lod
);
839 * Orientational adjustment value in degrees.
841 * Since rotational perturbation is now specified as an
842 * arclength, we have to convert.
845 ale_pos adj_o
= (double) 2 * (double) perturb
846 / sqrt(pow((double) scale_clusters
[0].input
->height(), (double) 2)
847 + pow((double) scale_clusters
[0].input
->width(), (double) 2))
852 * Barrel distortion adjustment value
855 ale_pos adj_b
= perturb
* bda_mult
;
858 * Global search overlap requirements.
861 local_gs_mo
= (double) local_gs_mo
/ pow(pow(2, lod
), 2);
864 * Alignment statistics.
867 diff_stat_t
here(offset
.elem_bounds());
870 * Current difference (error) value
873 ui::get()->prematching();
874 here
.diff(si
, offset
.get_current_element(), local_ax_count
, m
);
875 ui::get()->set_match(here
.get_error());
878 * Current and modified barrel distortion parameters
881 ale_pos current_bd
[BARREL_DEGREE
];
882 ale_pos modified_bd
[BARREL_DEGREE
];
883 offset
.bd_get(current_bd
);
884 offset
.bd_get(modified_bd
);
887 * Translational global search step
890 if (perturb
>= local_lower
&& local_gs
!= 0 && local_gs
!= 5
891 && (local_gs
!= 6 || astate
->get_is_default(0))) {
893 ui::get()->global_alignment(perturb
, lod
);
894 ui::get()->gs_mo(local_gs_mo
);
896 test_globals(&here
, si
, offset
, local_gs
, adj_p
,
897 local_ax_count
, m
, local_gs_mo
, perturb
);
899 ui::get()->set_match(here
.get_error());
900 ui::get()->set_offset(here
.get_offset());
904 * Perturbation adjustment loop.
907 offset
.set_current_element(here
.get_offset());
909 for (unsigned int i
= 0; i
< offset
.stack_depth(); i
++) {
911 ui::get()->aligning_element(i
, offset
.stack_depth());
913 offset
.set_current_index(i
);
915 ui::get()->start_multi_alignment_element(offset
);
917 ui::get()->set_offset(offset
);
920 astate
->init_frame_alignment_nonprimary(&offset
, lod
, perturb
, i
);
922 if (_exp_register
== 1) {
923 ui::get()->exposure_1();
924 pixel_accum
asum(0, 0, 0), bsum(0, 0, 0);
925 exposure_ratio_iterate
eri(&asum
, &bsum
, scale_clusters
[0], offset
, local_ax_count
, 0,
926 offset
.elem_bounds().scale_to_bounds(scale_clusters
[0].accum
->height(),
927 scale_clusters
[0].accum
->width()));
930 pixel_accum tr
= asum
/ bsum
;
931 ui::get()->exp_multiplier(tr
[0], tr
[1], tr
[2]);
932 offset
.set_tonal_multiplier(tr
);
937 int e_div
= offset
.get_current_coordinate().degree
;
938 ale_pos e_perturb
= perturb
;
939 ale_pos e_adj_p
= adj_p
;
940 ale_pos e_adj_b
= adj_b
;
942 for (int d
= 0; d
< e_div
; d
++) {
954 d2::trans_multi::elem_bounds_t b
= offset
.elem_bounds();
956 for (int dim_satisfied
= 0; e_lod
> 0 && !dim_satisfied
; ) {
957 int height
= scale_clusters
[e_lod
].accum
->height();
958 int width
= scale_clusters
[e_lod
].accum
->width();
960 d2::trans_multi::elem_bounds_int_t bi
= b
.scale_to_bounds(height
, width
);
962 dim_satisfied
= bi
.satisfies_min_dim(min_dimension
);
964 if (!dim_satisfied
) {
971 * Scale transform for lod
974 for (int lod_
= 0; lod_
< e_lod
; lod_
++) {
975 trans_single s
= offset
.get_element(i
);
976 trans_single t
= offset
.get_element(i
);
978 t
.rescale(1 / (double) 2);
980 if (!(t
.scaled_height() > 0 && t
.scaled_height() < s
.scaled_height())
981 || !(t
.scaled_width() > 0 && t
.scaled_width() < s
.scaled_width())) {
982 e_perturb
/= pow(2, e_lod
- lod_
);
986 offset
.set_element(i
, t
);
990 ui::get()->set_offset(offset
);
994 * Announce perturbation size
997 ui::get()->aligning(e_perturb
, e_lod
);
999 si
= scale_clusters
[e_lod
];
1001 here
.set_elem_bounds(offset
.elem_bounds());
1003 here
.diff(si
, offset
.get_current_element(), local_ax_count
, m
);
1007 here
= check_ancestor_path(offset
, si
, here
, local_ax_count
, m
);
1009 here
= _align_element(e_perturb
, local_lower
, scale_clusters
,
1010 here
, e_adj_p
, adj_o
, e_adj_b
, current_bd
, modified_bd
,
1013 offset
.rescale(here
.get_offset().scale() / offset
.scale());
1015 offset
.set_current_element(here
.get_offset());
1017 if (i
> 0 && _exp_register
== 1) {
1018 if (ma_cert_satisfied(scale_clusters
[0], offset
, i
)) {
1019 ui::get()->exposure_2();
1020 pixel_accum
asum(0, 0, 0), bsum(0, 0, 0);
1021 exposure_ratio_iterate
eri(&asum
, &bsum
, scale_clusters
[0], offset
, local_ax_count
, 1,
1022 offset
.elem_bounds().scale_to_bounds(scale_clusters
[0].accum
->height(),
1023 scale_clusters
[0].accum
->width()));
1026 pixel_accum tr
= asum
/ bsum
;
1027 ui::get()->exp_multiplier(tr
[0], tr
[1], tr
[2]);
1028 offset
.set_tonal_multiplier(tr
);
1030 offset
.set_tonal_multiplier(offset
.get_element(offset
.parent_index(i
)).get_tonal_multiplier(point(0, 0)));
1032 } else if (_exp_register
== 1) {
1033 ui::get()->exposure_2();
1034 set_exposure_ratio(m
, scale_clusters
[0], offset
, local_ax_count
, 1);
1037 ui::get()->set_offset(offset
);
1039 if (i
+ 1 == offset
.stack_depth())
1040 ui::get()->alignment_degree_complete(offset
.get_coordinate(i
).degree
);
1041 else if (offset
.get_coordinate(i
).degree
!= offset
.get_coordinate(i
+ 1).degree
)
1042 ui::get()->alignment_degree_complete(offset
.get_coordinate(i
+ 1).degree
);
1045 offset
.set_current_index(0);
1048 offset
.set_multi(reference_image
, input_frame
);
1051 * Recalculate error on whole frame.
1054 ui::get()->postmatching();
1055 diff_stat_generic
<transformation
> multi_here(offset
.elem_bounds());
1056 multi_here
.diff(scale_clusters
[0], offset
, local_ax_count
, m
);
1057 ui::get()->set_match(multi_here
.get_error());
1060 * Free the level-of-detail structures
1063 final_clusters(scale_clusters
, scale_factor
, steps
);
1066 * Ensure that the match meets the threshold.
1069 if (threshold_ok(multi_here
.get_error())) {
1071 * Update alignment variables
1074 astate
->set_default(offset
);
1075 astate
->set_final(offset
);
1076 ui::get()->alignment_match_ok();
1077 } else if (local_gs
== 4) {
1080 * Align with outer starting points.
1084 * XXX: This probably isn't exactly the right thing to do,
1085 * since variables like old_initial_value have been overwritten.
1088 diff_stat_multi nested_result
= _align(m
, -1, astate
);
1090 if (threshold_ok(nested_result
.get_error())) {
1091 return nested_result
;
1092 } else if (nested_result
.get_error() < multi_here
.get_error()) {
1093 multi_here
= nested_result
;
1096 if (is_fail_default
)
1097 offset
= astate
->get_default();
1099 ui::get()->set_match(multi_here
.get_error());
1100 ui::get()->alignment_no_match();
1102 } else if (local_gs
== -1) {
1109 if (is_fail_default
)
1110 offset
= astate
->get_default();
1112 ui::get()->alignment_no_match();
1116 * Write the tonal registration multiplier as a comment.
1119 pixel trm
= image_rw::exp(m
).get_multiplier();
1120 tsave_trm(tsave
, trm
[0], trm
[1], trm
[2]);
1123 * Save the transformation information
1126 for (unsigned int index
= 0; index
< offset
.stack_depth(); index
++) {
1127 offset
.set_current_index(index
);
1129 tsave_next(tsave
, offset
, alignment_class
== 2,
1130 offset
.get_current_index() == 0);
1133 offset
.set_current_index(0);
1136 * Update match statistics.
1139 match_sum
+= (1 - multi_here
.get_error()) * (ale_accum
) 100;
1149 int ale_align(ale_image a
, ale_image b
, ale_trans start
,
1150 ale_align_properties align_properties
, ale_trans result
) {
1151 #warning function unfinished.