This article provides a comprehensive survey on pioneer and state-of-the-art 3D scene
geometry estimation methodologies based on single, two, or multiple images captured …

ABSTRACT 3D reconstruction plays an increasingly important role in modern
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …

To obtain a higher simplification rate while retaining geometric features, a simplification
framework for the point cloud is proposed. Firstly, multi-angle images of the original point …

Traditionally, spherical keypoint matching has been performed using greedy algorithms,
such as Nearest Neighbors (NN) search. NN based algorithms often lead to erroneous or …

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 …

In this paper, we present a complete pipeline for computing structure-from-motion from the
sequences of spherical images. We revisit problems from multiview geometry in the context …

We propose a novel method for estimating the 3D geometry of indoor scenes based on
multiple spherical images. Our technique produces a dense depth map registered to a …

This paper introduces SphereCraft, a dataset specifically designed for spherical keypoint
detection, matching, and camera pose estimation. The dataset addresses the limitations of …

In this paper we propose a framework for inferring depth from a single spherical image,
which can be coupled to any generic planar image monocular depth estimation algorithm. It …

Pan-tilt-zoom (PTZ) and omnidirectional cameras serve as a video-mediated communication
interface for telemedicine. Most cases use either PTZ or omnidirectional cameras …