A Unique Recovery of 3D Shape and Size from Motion (2009)
Akira Aillano, Tsuyoshi Migita, Naoki A. Sada
Fact,orization is one of the most practical lnethocl to recover 3D shape arid motion simultaneously fro111 2D images with stable and fast computation. However, there still remain two crucial problems...
Sakaue, Fumihiko, Kobayashi, Makoto, Migita, Tsuyoshi, Shakunaga, Takeshi, Satake, Junji
This paper discusses a face recognition system for a dialogue interface robot that really works in ubiquitous environments and reports an experimental result of real-life test in a ubiquitous...
Sakaue, Fumihiko, Kobayashi, Makoto, Migita, Tsuyoshi, Shakunaga, Takeshi, Satake, Junji
This paper discusses a face recognition system for a dialogue interface robot that really works in ubiquitous environments and reports an experimental result of real-life test in a ubiquitous...
A thin lens based camera model for depth estimation from defocus and translation by zooming (2002)
Masashi Baba, Naoki Asada, Ai Oda, Tsuyoshi Migita
Depth recovery is a central concern in computer vision, and many methods were proposed for the monocular depth estimation by zooming as well as focusing and irising. In the past, there are two...
Akira Amano, Tsuyoshi Migita, Naoki Asada
The linearized approach to the shape from motion problem, e.g. the factorization method, is robust to find a unique solution with fast computation, but the occlusion and perspective distortion are...