資源簡介
三維人臉重建
本文提出了一種基于立體的三維人臉重建方法。該算法基于不同視角下的圖像對,對人臉進行深度估計。然后,通過部署深度信息生成面的表面網格。為了提高深度估計的精度,利用了人臉的特征。

代碼片段和文件信息
function?[F]?=?face(?sigmaMNwin_sizefeatures_mdisparity_feature_pointsdispartity1_refmask_middle)
w=(win_size-1)/2;
gaussians?=?zeros(MN74);
for?i=1:68
????x=uint32(features_m(i1));
????y=uint32(features_m(i2));
????gaussians(y-w:y+wx-w:x+wi)?=?fspecial(‘gauss‘win_size20);
end
c1?=?uint32(features_m(2:)?+?(features_m(30:)-features_m(2:))/3);
c2?=?uint32(features_m(4:)?+?(features_m(32:)-features_m(4:))/2);
c3?=?uint32(features_m(36:)?+?(features_m(14:)-features_m(36:))/2);
c4?=?uint32(features_m(30:)?+?(features_m(16:)-features_m(30:))/3);
c5?=?uint32(features_m(2:)?+?2*(features_m(30:)-features_m(2:))/3);
c6?=?uint32(features_m(30:)?+?2*(features_m(16:)-features_m(30:))/3);
gaussians(c1(2)-w:c1(2)+wc1(1)-w:c1(1)+w69)?=?fspecial(‘gauss‘win_sizesigma(11));
gaussians(c2(2)-w:c2(2)+wc2(1)-w:c2(1)+w70)?=?fspecial(‘gauss‘win_sizesigma(11));
gaussians(c3(2)-w:c3(2)+wc3(1)-w:c3(1)+w71)?=?fspecial(‘gauss‘win_sizesigma(11));
gaussians(c4(2)-w:c4(2)+wc4(1)-w:c4(1)+w72)?=?fspecial(‘gauss‘win_sizesigma(11));
gaussians(c5(2)-w:c5(2)+wc5(1)-w:c5(1)+w73)?=?fspecial(‘gauss‘win_sizesigma(11));
gaussians(c6(2)-w:c6(2)+wc6(1)-w:c6(1)+w74)?=?fspecial(‘gauss‘win_sizesigma(11));
disp=zeros(741);
disp(1:681)?=?disparity_feature_points;
w1=dispartity1_ref(c1(2)-w:c1(2)+wc1(1)-w:c1(1)+w);
w2=dispartity1_ref(c2(2)-w:c2(2)+wc2(1)-w:c2(1)+w);
w3=dispartity1_ref(c3(2)-w:c3(2)+wc3(1)-w:c3(1)+w);
w4=dispartity1_ref(c4(2)-w:c4(2)+wc4(1)-w:c4(1)+w);
w5=dispartity1_ref(c5(2)-w:c5(2)+wc5(1)-w:c5(1)+w);
w6=dispartity1_ref(c6(2)-w:c6(2)+wc6(1)-w:c6(1)+w);
disp(691)?=?sum(sum(w1))/sum(sum(w1~=0));
disp(701)?=?sum(sum(w2))/sum(sum(w2~=0));
disp(711)?=?sum(sum(w3))/sum(sum(w3~=0));
disp(721)?=?sum(sum(w4))/sum(sum(w4~=0));
disp(731)?=?sum(sum(w5))/sum(sum(w5~=0));
disp(741)?=?sum(sum(w6))/sum(sum(w6~=0));
tot=sum(gaussians3);
for?i=1:74?
????gaussians(::i)=gaussians(::i)./tot;
end
F?=??zeros(MN);
fo=zeros(741);
for?k=1:M
????for?l=1:N
????????if?mask_middle(kl)==1
????????????fo(:1)=gaussians(kl:);
????????????F(kl)?=?sum(fo.*disp);
????????end
????end?
end
%Smooth?
%?h=fspecial(‘gauss‘10020);
%?F=imfilter(Fh);
%Cost?function
%J?=?sum(sum((dispartity1_ref_out?-?F).^2));
end
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件???????2278??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\face.m
?????文件???????2298??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\face_mask_extraction.m
?????文件???????2817??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\interF.m
?????文件????5501219??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\ipcv_project_TURKOGLU.pdf
?????文件????????451??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\k_means.m
?????文件???????9283??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\main.m
?????文件???????1996??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\mesh_create_func.m
?????文件????????391??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master\README.md
?????目錄??????????0??2019-01-08?16:21??3D_face_reconstruction_from_stereo_pairs-master
-----------?---------??----------?-----??----
??????????????5520733????????????????????9
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