Results 251 to 260 of about 45,590 (292)
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An Objective Evaluation for Disparity Map Based on the Disparity Gradient and Disparity Acceleration

2009 International Conference on Information Technology and Computer Science, 2009
In this paper, we present a novel objective approach to evaluate the disparity map quality. The two indices which are disparity gradient and disparity acceleration are first proposed for the evaluation of the disparity map. These two indices are under the assumption that the disparity map should be smooth in the natural scene.
Lili Shen, Jiachen Yang
exaly   +2 more sources

Disparity Map Adjustment: a Post-Processing Technique

2018 IEEE Symposium on Computers and Communications (ISCC), 2018
As a digital image provides such information about a scene, a disparity map can be yielded by means of stereo images. This topic was exhaustively surveyed but it remains one of the most important branches in both computer vision and machine vision.
Gabriel Da Silva Vieira   +2 more
exaly   +2 more sources

Road Damage Detection Based on Unsupervised Disparity Map Segmentation

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2020
This article presents a novel road damage detection algorithm based on unsupervised disparity map segmentation. Firstly, a disparity map is transformed by minimizing an energy function with respect to stereo rig roll angle and road disparity projection ...
Rui Fan
exaly   +2 more sources

Iterative roll angle estimation from dense disparity map [PDF]

open access: yes, 2018
The v-disparity map is predominantly used to estimate the parameters of the vertical profile of the road surface. Once the road surface is modelled, an object that lies away from it can be detected and determined as either an obstacle or a pothole.
Rui Fan, Naim Dahnoun
exaly   +2 more sources

Disparity maps for dynamic stereo

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabriel Fielding, Moshe Kam
openaire   +1 more source

Disparity Map Hardware Accelerator

2008 International Conference on Reconfigurable Computing and FPGAs, 2008
Hardwired acceleration units capable of exploiting the parallelism of images rely on highly customized memory organizations. In this paper we analyze a widely used depth-discontinuity-algorithm applied in stereo vision systems. The main processing kernels are decomposed, and a hardwired acceleration unit is proposed for speeding up the computation. The
Humberto Calderon   +2 more
openaire   +1 more source

Anaglyph decomposition using disparity map

ACM SIGGRAPH 2013 Posters, 2013
Anaglyphs are the most primitive way of representing stereoscopic images. As one of the first attempts to produce 3D images, its viewing experience is not as satisfying as later methods but it is still widely used because of its simplicity and compactness.
Yong-Hun Cho, In-Kwon Lee, Young-Bae Joo
openaire   +1 more source

Estimation of disparity maps by compressive sensing

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Compressive sensing enables the reconstruction of a signal from its small number of samples in a sparse domain. It is advantageous to use compressive sensing to achieve dense signals in situations where measurements are costly, as in the case of disparity maps.
Secil Oztürk, Bülent Sankur
openaire   +1 more source

Enhancing a disparity map by color segmentation

Integrated Computer-Aided Engineering, 2012
Depth perception is a crucial but greedy task for most mobile robots to navigate in their environment and avoid obstacles. Generally, it does not need to be completed at permanent full precision but can be done in a coarse-to-fine strategy. In the present paper, a novel method is proposed to enhance a very sparse disparity map provided by a block ...
Noppon Lertchuwongsa   +2 more
openaire   +1 more source

A dense disparity map of stereo images

Pattern Recognition Letters, 1997
Abstract We present a new algorithm for solving the stereo vision matching problem by using dynamic programming. Edge pixels extracted from two images are matched and a dense disparity map is obtained by filling in the spaces between two consecutive edge pixels.
Angela Rojas   +2 more
openaire   +1 more source

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