3 citations · 5 across the 3 of their papers we have counts for
5 papers
Grassmannian learning mutual subspace method for image set recognition
Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto +2
This paper addresses the problem of object recognition given a set of images as input (e.g., multiple camera sources and video frames). Convolutional neural network (CNN)-based fra…
Discriminant analysis based on projection onto generalized difference subspace
Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi +2
This paper discusses a new type of discriminant analysis based on the orthogonal projection of data onto a generalized difference subspace (GDS). In our previous work, we have demo…
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait +2
Planar markers are useful in robotics and computer vision for mapping and localisation. Given a detected marker in an image, a frequent task is to estimate the 6DOF pose of the mar…
Constrained Mutual Convex Cone Method for Image Set Based Recognition
Naoya Sogi, Rui Zhu, Jing-Hao Xue +1
In this paper, we propose a method for image-set classification based on convex cone models. Image set classification aims to classify a set of images, which were usually obtained…
A Method Based on Convex Cone Model for Image-Set Classification with CNN Features
Naoya Sogi, Taku Nakayama, Kazuhiro Fukui
In this paper, we propose a method for image-set classification based on convex cone models, focusing on the effectiveness of convolutional neural network (CNN) features as inputs.…