Results 271 to 280 of about 1,701,201 (300)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
Disparity Estimation by Simultaneous Edge Drawing
2017This work presents a new low-level real-time algorithm for simultaneous edge drawing and disparity calculation in stereo image pairs. It works by extending the principles from the ED algorithm, a fast and robust edge detector able to produce one pixel-wide chains of pixels for the edges in the image.
Dexmont Peña, Alistair Sutherland
openaire +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
Accurate Disparity Estimation for Plenoptic Images
2015In this paper we propose a post-processing pipeline to recover accurately the views (light-field) from the raw data of a plenoptic camera such as Lytro and to estimate disparity maps in a novel way from such a light-field. First, the microlens centers are estimated and then the raw image is demultiplexed without demosaicking it beforehand.
Neus Sabater +4 more
openaire +1 more source
Some variants of minimum disparity estimation
Computational Statistics & Data Analysis, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ayanendranath Basu +3 more
openaire +3 more sources
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
openaire +1 more source
Disparity estimation by reverse fuzzyfication
SPIE Proceedings, 2011This paper presents an algorithm using fuzzy logic for computing disparity or stereo correspondence of the image sequences. For better achievements, reverse fuzzyfication method has been employed for disparity estimation. The algorithm stands on verdict the preeminent counterpart for every window's pixel in the left image with the consequent right ...
Md. Abdul Mannan Mondal, Md. Haider Ali
openaire +1 more source
Measures of Disparity and their Efficient Estimation
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023Harvineet Singh, Rumi Chunara
openaire +2 more sources
On the asymptotics of minimum disparity estimation
TEST, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arun Kumar Kuchibhotla +1 more
openaire +1 more source