Tatsunori Taniai
OMRON SINIC X Corporation
- Publications
- Influence
IEEE Conference on Computer Vision and Pattern…
We propose a new technique to jointly recover cosegmentation and dense per-pixel correspondence in two images. Our method parameterizes the correspondence field using piecewise similarity… Expand
IEEE Conference on Computer Vision and Pattern…
We present an accurate and efficient stereo matching method using locally shared labels, a new labeling scheme that enables spatial propagation in MRF inference using graph cuts. They give each pixel… Expand
IEEE Transactions on Pattern Analysis and Machine…
We present an accurate stereo matching method using <italic>local expansion moves</italic> based on graph cuts. This new move-making scheme is used to efficiently infer per-pixel 3D plane labels on a… Expand
Semi-Global Matching (SGM) is a widely-used efficient stereo matching technique. It works well for textured scenes, but fails on untextured slanted surfaces due to its fronto-parallel smoothness… Expand
IEEE Conference on Computer Vision and Pattern…
We propose a new multi-frame method for efficiently computing scene flow (dense depth and optical flow) and camera ego-motion for a dynamic scene observed from a moving stereo camera rig. Our… Expand
We present a novel convolutional neural network architecture for photometric stereo (Woodham, 1980), a problem of recovering 3D object surface normals from multiple images observed under varying… Expand
We present an accurate and efficient stereo matching method using local expansion moves, a new move making scheme using graph cuts. The local expansion moves are presented as many alpha-expansions… Expand
IEEE Conference on Computer Vision and Pattern…
We propose an efficient and general purpose energy optimization method for binary variable energies used in various low-level vision tasks. Our method can be used for broad classes of higher-order… Expand
We present a novel convolutional neural network architecture for photometric stereo (Woodham, 1980), a problem of recovering 3D object surface normals from multiple images observed under varying… Expand
We propose an image segmentation method that divides an image into foreground and background regions when the approximate color distributions for these regions are given. Our approach was inspired by… Expand