9,807 research outputs found
Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm
Integral imaging is a technique capable of displaying 3–D images with continuous parallax in full natural color. It is one of the most promising methods for producing smooth 3–D images. Extracting depth information from integral image has various applications ranging from remote inspection, robotic vision, medical imaging, virtual reality, to content-based image coding and manipulation for integral imaging based 3–D TV. This paper presents a method of generating a depth map from unidirectional integral images through viewpoint image extraction and using a hybrid disparity analysis algorithm combining multi-baseline, neighbourhood constraint and relaxation strategies. It is shown that a depth map having few areas of uncertainty can be obtained from both computer and photographically generated integral images using this approach. The acceptable depth maps can be achieved from photographic captured integral images containing complicated object scene
Race and Interest Convergence in NCAA Sports
Article published in the Wake Forest Journal of Law and Policy
Major College Sports: A Modern Apartheid
Article published in the Texas Review of Entertainment & Sports Law
Professor Alvin L. Storrs 1950-2010 In Memoriam
Article published in the Michigan State Law Review
A Trail of Tears: The Exploitation of the College Athlete
Article published in the Fla. Coastal Law Review
Automatic signal range selector for metering devices Patent
Voltage range selection apparatus for sensing and applying voltages to electronic instruments without loading signal sourc
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