Joint Recovery of Dense Correspondence and Cosegmentation in Two Images

2016 ◽  
Author(s):  
Tatsunori Taniai ◽  
Sudipta N. Sinha ◽  
Yoichi Sato
Keyword(s):  
Dense Correspondence

Monocular Structure from Motion Based on Angular BA

2015 ◽  
Vol 742 ◽  
pp. 290-293
Author(s):  
Xiu Zhi Li ◽  
Ai Lin Yang ◽  
Huan Qiu ◽  
Song Min Jia
Keyword(s):  
Optical Flow ◽  
Structure From Motion ◽  
Structure Refinement ◽  
3D Structure ◽  
Flow Fields ◽  
Image Point ◽  
Pixel Pair ◽  
Pair Matching ◽  
Dense Correspondence

This paper presents a technique for monocular Structure from Motion (SFM) that reconstructs 3D world shape. The technique proposed uses optical flow for 2D pixel pair matching and Angular Bundle Ajustment (ABA) for 3D structure refinement. The proposed strategy has two main advantages. Firstly, optical flow fields provide sufficient dense correspondence of image point pairs and secondly, ABA outperforms classic BA variants, especially for the points relatively far from camera. The reconstruction results obtained in realistic scenario demonstrate the effectiveness and accuracy of the proposed algorithm.

3D human pose and shape estimation with dense correspondence from a single depth image

2022 ◽  
Author(s):  
Kangkan Wang ◽  
Guofeng Zhang ◽  
Jian Yang
Keyword(s):  
Depth Image ◽  
Shape Estimation ◽  
Human Pose ◽  
Dense Correspondence

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation

2021 ◽  
pp. 1-1
Author(s):  
Ivan Shugurov ◽  
Sergey Zakharov ◽  
Slobodan Ilic
Keyword(s):  
Pose Estimation ◽  
Dense Correspondence

scholarly journals Three-dimensional assessment of facial asymmetry using dense correspondence, symmetry, and midline analysis

2020 ◽  
Vol 158 (1) ◽  
pp. 134-146
Author(s):  
Vivien Lum ◽  
Mithran S. Goonewardene ◽  
Ajmal Mian ◽  
Peter Eastwood
Keyword(s):  
Three Dimensional ◽  
Facial Asymmetry ◽  
Dimensional Assessment ◽  
Dense Correspondence

Self-Supervised Visual Descriptor Learning for Dense Correspondence

2017 ◽  
Vol 2 (2) ◽  
pp. 420-427 ◽  
Author(s):  
Tanner Schmidt ◽  
Richard Newcombe ◽  
Dieter Fox
Keyword(s):  
Dense Correspondence

scholarly journals Feature-driven deformation for dense correspondence

2009 ◽  
Author(s):  
Deboshmita Ghosh ◽  
Andrei Sharf ◽  
Nina Amenta
Keyword(s):  
Dense Correspondence

Coarse-to-Fine PatchMatch for Dense Correspondence

2018 ◽  
Vol 28 (9) ◽  
pp. 2233-2245 ◽  
Author(s):  
Yunsong Li ◽  
Yinlin Hu ◽  
Rui Song ◽  
Peng Rao ◽  
Yangli Wang
Keyword(s):  
Coarse To Fine ◽  
Dense Correspondence

Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach

2018 ◽  
Vol 19 (3) ◽  
pp. 745-757 ◽  
Author(s):  
Shuai Di ◽  
Honggang Zhang ◽  
Chun-Guang Li ◽  
Xue Mei ◽  
Danil Prokhorov ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Scene Understanding ◽  
Learning Approach ◽  
Cross Domain ◽  
Dense Correspondence

scholarly journals Automatic landmark annotation and dense correspondence registration for 3D human facial images

2013 ◽  
Vol 14 (1) ◽  
pp. 232 ◽  
Author(s):  
Jianya Guo ◽  
Xi Mei ◽  
Kun Tang
Keyword(s):  
Facial Images ◽  
Dense Correspondence
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