activity
20182021
most citedResolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints

3 citations · 6 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV20211 cited

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…

q-bio.QM20211 cited

Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition

Bernardo B. Gatto, Juan G. Colonna, Eulanda M. dos Santos +2

Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our planet. Frogs and bees, for instance, may act like biological sensors providing info…

cs.LG20191 cited

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…

cs.CV20193 cited

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…

cs.LG2019

Tensor Analysis with n-Mode Generalized Difference Subspace

Bernardo B. Gatto, Eulanda M. dos Santos, Alessandro L. Koerich +2

The increasing use of multiple sensors, which produce a large amount of multi-dimensional data, requires efficient representation and classification methods. In this paper, we pres…

cs.CV2019

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…