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» Learning Depth from Stereo
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CVPR
2008
IEEE
14 years 8 months ago
Fusion of time-of-flight depth and stereo for high accuracy depth maps
Time-of-flight range sensors have error characteristics which are complementary to passive stereo. They provide real time depth estimates in conditions where passive stereo does n...
Jiejie Zhu, Liang Wang, Ruigang Yang, James Davis
ECCV
2002
Springer
14 years 8 months ago
Diffuse-Specular Separation and Depth Recovery from Image Sequences
Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approa...
Stephen Lin, Yuanzhen Li, Sing Bing Kang, Xin Tong...
AAAI
2004
13 years 7 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
ICPR
2008
IEEE
14 years 7 months ago
Usage of needle maps and shadows to overcome depth edges in depth map reconstruction
Photometric stereo is a method of recovering surface normals (needle map) from images. The surface integral of surface normals is used to reconstruct a depth map; however, the dep...
Koh Kakusho, Koki Hamada, Masaaki Iiyama, Michihik...
ICCV
2009
IEEE
1849views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Simultaneous Color Consistency and Depth Map Estimation for Radiometrically Varying Stereo Images
In this paper, we propose a new method that infers accurate depth maps and color-consistent images between radiometrically varying stereo images, simultaneously. In general, stereo...
Yong Seok Heo (Seoul National University), Kyoung ...