Results 271 to 280 of about 44,252 (301)

Disparity Estimation by Simultaneous Edge Drawing

2017
This 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   +1 more source

Accurate Disparity Estimation for Plenoptic Images

2015
In 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, Mozhdeh Seifi, Valter Drazic, Gustavo L. Sandri, Patrick Pérez   +4 more
openaire   +1 more source

Disparity estimation by reverse fuzzyfication

SPIE Proceedings, 2011
This 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

A Survey of Adaptive Disparity Estimation

2012 International Conference on Industrial Control and Electronics Engineering, 2012
Intermediate View Synthesis (IVS) is a key technology in multi-view display, and it is widely used in many fields, such as three dimensional (3D) television, 3D tele-videoconference, 3D video application, robot vision, virtual machine, medical surgery and so on. Disparity estimation is one of main methods of IVS.
Shiping Zhu, Liu Yang
openaire   +1 more source

On the asymptotics of minimum disparity estimation

TEST, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arun Kumar Kuchibhotla, Ayanendranath Basu   +1 more
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Measures of Disparity and their Efficient Estimation

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Harvineet Singh, Rumi Chunara
openaire   +1 more source

Hidden Markov measure fields for disparity estimation

Proceedings of the Fourth Mexican International Conference on Computer Science, 2003. ENC 2003., 2004
Stereo matching is one of the most active research areas in computer vision and many algorithms have been developed to solve the problem of stereo correspondence. In this work, we propose a parametric model based on a new Bayesian formulation to solve the correspondence problem, using a doubly stochastic prior model that allows one to find optimal ...
Edgar Arce Santana, José L. Marroquín
openaire   +1 more source

Binocular and Trinocular Disparity Estimation

2017
Depth is a strong component of human vision. The stereoscopic imaging and utilization of glasses can provide depth perception to the user without the requirement of depth measurement. However, its measurement is required for many recent advanced virtual reality applications and 3D-based smart vision systems. Depth estimation is an algorithmic step in a
Vladan Popovic, Kerem Seyid, Ömer Cogal, Abdulkadir Akin, Yusuf Leblebici   +4 more
openaire   +1 more source

Trinocular disparity estimation with adaptive support weight and disparity calibration

Optical Engineering, 2008
A new trinocular stereo matching algorithm is proposed. The collinear trinocular stereo, which is an almost occlusion-free system, is adopted, and the classical binocular stereo algorithm, adaptive support weight, is used for window selection. A novel camera selection technique is presented to utilize the information of different target images more ...
openaire   +1 more source

Estimating the Impact of Rurality in Disparities in Cancer Mortality

JCO Oncology Practice
PURPOSE Estimation of the independent effect of rurality on cancer mortality requires causal inference methodology and consideration of area-level socioeconomic status and rural designations. METHODS Using SEER data, we identified key incident cancers diagnosed between 2000 and 2016 at age ≥20 years (N = 3,788,273), examining a 20% random sample (n ...
Kelly M. Kenzik, Elizabeth S. Davis, Jeffrey A. Franks, Smita Bhatia   +3 more
openaire   +2 more sources