Results 261 to 270 of about 1,701,201 (300)

Enhanced disparity estimation in stereo images

Image and Vision Computing, 2015
This paper presents a novel stereo disparity estimation method, which combines three different cost metrics, defined using RGB information, the CENSUS transform, as well as Scale-Invariant Feature Transform coefficients. The selected cost metrics are aggregated based on an adaptive weight approach, in order to calculate their corresponding cost volumes.
Ebroul Izquierdo, Petros Daras, Dimitrios S Alexiadis   +2 more
exaly   +2 more sources

Disparity Estimation Techniques

, 2013
Disparity information has a great interest in different application fields such as view synthesis, 3D reconstruction and stereo/multiview video coding. For this reason, many research studies have been focused on the estimation of a consistent disparity map. This chapter deals with this estimation problem and it is divided into three main parts.
Kaaniche M., Gaetano R., Cagnazzo M., Pesquet-Popescu B.   +3 more
openaire   +2 more sources

DESA: Disparity Estimation With Surface Awareness

IEEE Signal Processing Letters, 2021
Depth map plays an important role in our daily life including automatic driving, intelligent robots, and commercial manufacture. However, existing depth estimation methods are still facing some difficulties in real-life applications. Firstly, using merely point-wise metrics during training usually causes surface distortion due to the lack of geometric ...
Shuqiao Sun, Rongke Liu, Shantong Sun
openaire   +2 more sources

Disparity estimation and disparity-coherent watermarking

SPIE Proceedings, 2015
In the context of stereo video, disparity-coherent watermarking has been introduced to provide superior robustness against virtual view synthesis, as well as to improve perceived fidelity. Still, a number of practical considerations have been overlooked and in particular the role of the underlying depth estimation tool on performances. In this article,
Hasan Sheikh Faridul, Gwenaël J. Doërr, Séverine Baudry   +2 more
openaire   +1 more source

Stereoscopic learning for disparity estimation

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
In this paper, we propose a learning based approach to estimating pixel disparities from the motion information extracted out of input monoscopic video sequences. We represent each video frame with superpixels, and extract the motion features from the superpixels and the frame boundary.
Zhebin Zhang, Yizhou Wang 0001, Tingting Jiang 0001, Wen Gao 0001   +3 more
openaire   +1 more source

Disparity Estimation on Stereo Mammograms

IEEE Transactions on Image Processing, 2015
We consider the problem of depth estimation on digital stereo mammograms. Being able to elucidate 3D information from stereo mammograms is an important precursor to conducting 3D digital analysis of data from this promising new modality. The problem is generally much harder than the classic stereo matching problem on visible light images of the natural
Gautam S. Muralidhar, Alan C. Bovik, Mia K. Markey   +2 more
openaire   +3 more sources

Minimum disparity estimation based on combined disparities: Asymptotic results

Journal of Statistical Planning and Inference, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mandal, A., Bhandari, S. K., Basu, A.
openaire   +1 more source

Shape-indifferent stereo disparity based on disparity gradient estimation

Image and Vision Computing, 2017
Abstract A new algorithm capable of estimating disparity gradients to produce accurate dense disparities is proposed. Such a disparity gradient plays a critical role in acquiring accurate disparities for scenes with many different object shapes.
Jeong-Min Park, Gwang-Yul Song, Joon-Woong Lee   +2 more
openaire   +1 more source