In this paper, we present a new direct omnidirectional visual gyroscope for mobile robotic
platforms. The gyroscope estimates the 3D orientation of a camera-robot by comparing the …

In this paper, we propose a method of extracting feature descriptors from discrete spherical
images using convolutional neural networks (CNNs). First, a captured full-view image is …

How an image is represented as the input of a convolutional neural network (CNN) is
important because this input directly influences the performance of the CNN. In this paper …

This article presents a visual gyroscope based on the spherical representation of dual-
fisheye cameras. By using the fully available view of the scene thanks to a dual-fisheye …

Pictures of documents have non-uniform illumination causing shading which may yield to
bad quality image for human visualization and unsuitable for some image processing …

In this paper, we propose a high speed corner detector in discrete spherical image with full
view. Usually, the fisheye camera is used to obtain a wide view image and a full view image …

We propose an extension of the Laplacian operator and the class of differential corner
detectors for omnidirectional panoramic images covering 360° views. It solves two problems …

Segmentation, a useful/powerful technique in pattern recognition, is the process of
identifying object outlines within images. There are a number of efficient algorithms for …

In this paper, a spherical gradient operator is proposed that computes the gradient from a
discrete spherical image with irregular pixels. In contrast to the conventional methods which …

This paper proposes a method of finding scale-invariant corner point from full-view image
based on discrete spherical model. A full-view image is first mapped to a discrete spherical …