Results 31 to 40 of about 109,180 (287)
Reliable fusion of ToF and stereo depth driven by confidence measures [PDF]
, 2016 In this paper we propose a framework for the fusion of depth data produced by a Time-of-Flight (ToF) camera and stereo vision system. Initially, depth data acquired by the ToF camera are upsampled by an ad-hoc algorithm based on image segmentation and ...
Marin, Giulio +2 more
core +1 more source
Estimation of disparity map of stereo image pairs using spatial domain local Gabor wavelet
IET Computer Vision, 2015 The stereo matching problem takes two images captured by nearby cameras and attempts to recover quantitative disparity information. Most of the existing stereo matching algorithms find it difficult to estimate disparity in the occlusion, discontinuities ...
T. Malathi, M.K. Bhuyan
doaj +1 more source
Stereo Matching with Nonlinear Diffusion [PDF]
International Journal of Computer Vision, 1996 One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this problem with some novel algorithms based on iteratively diffusing support at different disparity hypotheses, and locally controlling the amount of diffusion based on the ...
D. Scharstein, R. Szeliski
openaire +1 more source
Stereo Object Matching Network [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 This paper presents a stereo object matching method that exploits both 2D contextual information from images as well as 3D object-level information. Unlike existing stereo matching methods that exclusively focus on the pixel-level correspondence between stereo images within a volumetric space (i.e., cost volume), we exploit this volumetric structure in
Choe, Jaesung +3 more
openaire +2 more sources
Robust 3-Dimensional Object Recognition using Stereo Vision and Geometric Hashing [PDF]
, 1996 We propose a technique that combines geometric hashing with stereo vision. The idea is to use the robustness of geometric hashing to spurious data to overcome the correspondence problem, while the stereo vision setup enables direct model matching using ...
Dijck, Harry van +2 more
core +3 more sources
On the AER Stereo-Vision Processing: A Spike Approach to Epipolar Matching [PDF]
, 2013 Image processing in digital computer systems usually considers visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time.
Cerezuela Escudero, Elena +5 more
core +1 more source
Photometric invariant stereo matching method
Optics Express, 2015 A robust stereo matching method based on a comprehensive mathematical model for color formation process is proposed to estimate the disparity map of stereo images with noise and photometric variations. The band-pass filter with DoP kernel is firstly used to filter out noise component of the stereo images. Then the log-chromaticity normalization process
Feifei, Gu +5 more
openaire +2 more sources
SVCV: segmentation volume combined with cost volume for stereo matching
IET Computer Vision, 2017 Stereo matching between binocular stereo images is fundamental to many computer vision tasks, such as three‐dimensional (3D) reconstruction and robot navigation. Various structures of real 3D scenes lead stereo matching to be an old yet still challenging
Hongmei Zhu, Jihao Yin, Ding Yuan
doaj +1 more source
Cross-Scale Cost Aggregation for Stereo Matching [PDF]
, 2014 Human beings process stereoscopic correspondence across multiple scales. However, this bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo correspondence.
Dongbo Min +6 more
core +1 more source
Pushbroom Stereo for High-Speed Navigation in Cluttered Environments [PDF]
, 2014 We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile-CPU processor at 120 frames per second. Our system performs a subset of standard block-matching stereo processing, searching only for obstacles at a single depth.
Barry, Andrew J., Tedrake, Russ
core +3 more sources