In this paper, we develop an interest point detector and binary feature descriptor for
spherical images. We take as inspiration a recent framework developed for planar images …

This paper proposes a full-view spherical image format which is based on the geodesic
division of a sphere. In comparison with the conventional 3D array representation which …

This paper revisits the classical problem of detecting interest points, popularly known as
“corners,” in 2D images by proposing a technique based on fitting algebraic shape models …

This paper introduces a new Harris-affine corner detector algorithm, that does not need
parameters to locate corners in images, given an observation scale. Standard detectors …

This paper proposes a method of realizing a full-view spherical image camera, called
spherical camera, and gives its calibration method. The spherical camera can acquire a full …

In this work, we propose" tangent images," a spherical image representation that facilitates
transferable and scalable 360 degree computer vision. Inspired by techniques in …

In this paper, we propose SPHORB, a new fast and robust binary feature detector and
descriptor for spherical panoramic images. In contrast to state-of-the-art spherical features …

We describe an acquisition and viewing method for high-resolution, high-dynamic range
spherical image mosaics. These mosaics consist of hundreds of high-resolution, high …

Proposes in a corner detector algorithm, which leads to results both on mono-spectral and
multispectral images. To validate the method, we compare its mono-spectral version to the …

In this paper, we present a novel scale-and rotation-invariant interest point detector and
descriptor, coined SURF (Speeded Up Robust Features). It approximates or even …