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Stereoscopic learning for disparity estimation
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011In 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 +3 more
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Disparity Estimation on Stereo Mammograms
IEEE Transactions on Image Processing, 2015We 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 +2 more
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Minimum disparity estimation based on combined disparities: Asymptotic results
Journal of Statistical Planning and Inference, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mandal, A., Bhandari, S. K., Basu, A.
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Shape-indifferent stereo disparity based on disparity gradient estimation
Image and Vision Computing, 2017Abstract 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 +2 more
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Fast disparity estimation for 3DTV applications
2012 Visual Communications and Image Processing, 2012The depth estimation reference software (DERS) algorithm developed by the MPEG 3-D Video Coding could produce high-quality disparity maps for 3DTV applications but suffers from high computational complexity due to its complicated graph-cut optimization.
Yu-Cheng Tseng, Tian-Sheuan Chang
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Estimation of disparity maps by compressive sensing
2013 21st Signal Processing and Communications Applications Conference (SIU), 2013Compressive 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
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Object segmentation based on disparity estimation
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009Object segmentation plays an important role in multi-view video analysis. In this paper, we present a new object segmentation method for multi-view video in which only the disparity is used for segmentation and the motion estimation is neglected. Firstly, a modified locally adaptive support-weight approach is proposed for disparity estimation.
Qian Zhang 0033 +3 more
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Some variants of minimum disparity estimation
Computational Statistics & Data Analysis, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ayanendranath Basu +3 more
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Depth estimation from focus and disparity
2016 IEEE International Conference on Image Processing (ICIP), 2016This paper explores how focusing and defocusing can be used in combination with stereoscopy to enhance the accuracy and speed of depth estimation. The proposed method for combining focus information with stereo is inspired from how the human brain perceives depth using both.
Arnav Acharyya +5 more
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Disparity estimation based on fusion of vision and LiDAR
International Journal of Wavelets, Multiresolution and Information Processing, 2022Advanced driver assistance systems improve driving safety and comfort by applying onboard sensors to collect environmental data, analyze environmental data and decision making. Therefore, advanced driver assistance systems have high requirements for distance perception of the environment.
Chao Ma +4 more
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