Y
Yoshihiko Mochizuki
Researcher at Waseda University
Publications - 30
Citations - 293
Yoshihiko Mochizuki is an academic researcher from Waseda University. The author has contributed to research in topics: Optical flow & Image segmentation. The author has an hindex of 10, co-authored 30 publications receiving 259 citations. Previous affiliations of Yoshihiko Mochizuki include Chiba University.
Papers
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Proceedings ArticleDOI
Surface object recognition with CNN and SVM in Landsat 8 images
TL;DR: This paper proposes and compares two methods for surface object recognition, one using the convolutional neural network (CNN) and the other support vector machine (SVM), and shows that CNN showed higher performance than SVM.
Journal ArticleDOI
N-Point Hough transform for line detection
TL;DR: The N-point Hough transform is introduced for the detection of a large number of planar lines in a noisy image and the relationship between a line and a set of parameters in the voting space using geometric duality is clarified to define a metric in the Voting space.
Proceedings ArticleDOI
Detection by classification of buildings in multispectral satellite imagery
Tomohiro Ishii,Edgar Simo-Serra,Satoshi Iizuka,Yoshihiko Mochizuki,Akihiro Sugimoto,Hiroshi Ishikawa,Ryosuke Nakamura +6 more
TL;DR: An approach to classify multispectral image patches taken by satellites as whether or not they belong to a class of buildings by training a Convolutional Neural Network from scratch and providing an indepth evaluation of the seven different spectral bands provided by the satellite images.
Proceedings ArticleDOI
A HOG-based hand gesture recognition system on a mobile device
TL;DR: The experimental results show that the proposed recognition algorithm improves HOG's robustness under rotation change and compare processing time with different network configurations.
Book ChapterDOI
Variational analysis of spherical images
TL;DR: Algorithms for optical flow computation for images on a sphere, which are an essential requirement to the application of the omni-directional imaging system with conic-mirror and fish-eye lens for navigation and control, are introduced.