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3d scene geometry estimation from 360 imagery: A survey
TLT da Silveira, PGL Pinto… - ACM Computing …, 2022 - dl.acm.org
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 …
geometry estimation methodologies based on single, two, or multiple images captured …
3D reconstruction of spherical images: a review of techniques, applications, and prospects
ABSTRACT 3D reconstruction plays an increasingly important role in modern
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …
photogrammetric systems. Conventional satellite or aerial-based remote sensing (RS) …
Feature-preserving simplification framework for 3D point cloud
X Xu, K Li, Y Ma, G Geng, J Wang, M Zhou, X Cao - Scientific reports, 2022 - nature.com
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 …
framework for the point cloud is proposed. Firstly, multi-angle images of the original point …
BRISKS: Binary features for spherical images on a geodesic grid
H Guan, WAP Smith - … of the IEEE conference on computer …, 2017 - openaccess.thecvf.com
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 …
spherical images. We take as inspiration a recent framework developed for planar images …
Sphereglue: Learning keypoint matching on high resolution spherical images
C Gava, V Mukunda, T Habtegebrial… - Proceedings of the …, 2023 - openaccess.thecvf.com
Traditionally, spherical keypoint matching has been performed using greedy algorithms,
such as Nearest Neighbors (NN) search. NN based algorithms often lead to erroneous or …
such as Nearest Neighbors (NN) search. NN based algorithms often lead to erroneous or …
Dense 3D scene reconstruction from multiple spherical images for 3-DoF+ VR applications
TLT da Silveira, CR Jung - … on Virtual Reality and 3D User …, 2019 - ieeexplore.ieee.org
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 …
multiple spherical images. Our technique produces a dense depth map registered to a …
Structure-from-motion in spherical video using the von mises-fisher distribution
H Guan, WAP Smith - IEEE Transactions on Image Processing, 2016 - ieeexplore.ieee.org
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 …
sequences of spherical images. We revisit problems from multiview geometry in the context …
On efficient 3D object retrieval
H Liu, RCW Wong - The VLDB Journal, 2025 - Springer
Due to the growth of the 3D technology, digital 3D models represented in the form of point
clouds have attracted a lot of attention from both industry and academia. In this paper, due to …
clouds have attracted a lot of attention from both industry and academia. In this paper, due to …
SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation
This paper introduces SphereCraft, a dataset specifically designed for spherical keypoint
detection, matching, and camera pose estimation. The dataset addresses the limitations of …
detection, matching, and camera pose estimation. The dataset addresses the limitations of …
Indoor depth estimation from single spherical images
TLT Da Silveira, LP Dal'Aqua… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
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 …
which can be coupled to any generic planar image monocular depth estimation algorithm. It …