Yasuyuki Matsushita focuses on Artificial intelligence, Computer vision, Iterative reconstruction, Reflectivity and Photometric stereo. His study brings together the fields of Pattern recognition and Artificial intelligence. His Computer vision study frequently draws parallels with other fields, such as Robustness.
His biological study deals with issues like Computer graphics, which deal with fields such as Quality, Range and Surface. Yasuyuki Matsushita interconnects RGB color model, Sparse matrix and Inverse in the investigation of issues within Reflectivity. His Photometric stereo research incorporates themes from Low-rank approximation, Matrix norm, Heuristic and Matrix completion.
Yasuyuki Matsushita spends much of his time researching Artificial intelligence, Computer vision, Photometric stereo, Algorithm and Computer graphics. Yasuyuki Matsushita has included themes like Surface and Pattern recognition in his Artificial intelligence study. His research integrates issues of Object, Image noise, Categorization and Outlier in his study of Pattern recognition.
His Computer vision study frequently links to related topics such as Reflectivity. His Photometric stereo study integrates concerns from other disciplines, such as Isotropy, Stereo camera, Calibration and Normal. His study in the field of Singular value decomposition is also linked to topics like Shot noise.
His main research concerns Artificial intelligence, Computer vision, Photometric stereo, Normal and Reflectivity. His Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition. The study incorporates disciplines such as Image based and Feature in addition to Pattern recognition.
Yasuyuki Matsushita has researched Computer vision in several fields, including Time of flight and Calibration. His Photometric stereo research is multidisciplinary, incorporating elements of Computational photography, Polarization, Cast shadow, Structured light and Remote sensing. His biological study spans a wide range of topics, including Algorithm, Computation and Point.
Artificial intelligence, Computer vision, Photometric stereo, Normal and Image formation are his primary areas of study. His Artificial intelligence research is multidisciplinary, relying on both Isotropy and Surface. A large part of his Computer vision studies is devoted to Stereo camera.
His Photometric stereo research includes elements of Point, Local search and Robustness. His studies in Normal integrate themes in fields like Light intensity, Bilinear interpolation, Calibration and Minification. His research in Image formation intersects with topics in Flashlight, Normal mapping, Stereoscopy and Flash.
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Traffic monitoring and accident detection at intersections
S. Kamijo;Y. Matsushita;K. Ikeuchi;M. Sakauchi.
IEEE Transactions on Intelligent Transportation Systems (2000)
Motion detail preserving optical flow estimation
Li Xu;Jiaya Jia;Yasuyuki Matsushita.
computer vision and pattern recognition (2010)
Full-frame video stabilization with motion inpainting
Y. Matsushita;E. Ofek;Weina Ge;Xiaoou Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
Jiawang Bian;Wen-Yan Lin;Yasuyuki Matsushita;Sai-Kit Yeung.
computer vision and pattern recognition (2017)
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
Asako Kanezaki;Yasuyuki Matsushita;Yoshifumi Nishida.
computer vision and pattern recognition (2018)
Robust photometric stereo via low-rank matrix completion and recovery
Lun Wu;Arvind Ganesh;Boxin Shi;Yasuyuki Matsushita.
asian conference on computer vision (2010)
Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato.
computer vision and pattern recognition (2014)
High-resolution hyperspectral imaging via matrix factorization
Rei Kawakami;Yasuyuki Matsushita;John Wright;Moshe Ben-Ezra.
computer vision and pattern recognition (2011)
Smoothly varying affine stitching
Wen-Yan Lin;Siying Liu;Yasuyuki Matsushita;Tian-Tsong Ng.
computer vision and pattern recognition (2011)
Removing Non-Uniform Motion Blur from Images
Sunghyun Cho;Y. Matsushita;Seungyong Lee.
international conference on computer vision (2007)
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