K
Koichiro Deguchi
Researcher at Tohoku University
Publications - 148
Citations - 2089
Koichiro Deguchi is an academic researcher from Tohoku University. The author has contributed to research in topics: Active vision & Curvature. The author has an hindex of 22, co-authored 148 publications receiving 2000 citations. Previous affiliations of Koichiro Deguchi include Yamagata University & University of Tokyo.
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Journal ArticleDOI
Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center
TL;DR: Experimental results for real medical endoscope images of the stomach wall show the feasibility of the Kimmel?Bruckstein algorithm of shape from shading to the endoscope image and its promising availability for morphological analyses of tumors on human inner organs.
Proceedings ArticleDOI
Optimal motion control for image-based visual servoing by decoupling translation and rotation
TL;DR: Two algorithms are proposed to decouple image-based visual servoing by using the homography and the epipolar condition held between the goal image and the current image, and to generate the optimal trajectory of the robot motion to reach the goal straightforwardly.
Journal ArticleDOI
On the Wiberg Algorithm for Matrix Factorization in the Presence of Missing Components
TL;DR: The experimental results demonstrate that the Wiberg algorithm shows a considerably good performance, which should contradict the conventional view in the community, namely that minimization-based algorithms tend to fail to converge to a global minimum relatively frequently.
Proceedings ArticleDOI
Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms
TL;DR: A new method is proposed that incorporates a damping factor into the Wiberg method to solve the problem of factorization of a low-rank matrix with missing components, characterized by the way it constrains the ambiguity of the matrix factorization.
Journal ArticleDOI
A Direct Interpretation of Dynamic Images with Camera and Object Motions for Vision Guided Robot Control
TL;DR: Experimental results of visual servoing with the proposed method show the feasibility and applicability of the newly proposed approach to a simultaneous control of camera self-motion and object motions.