Ordinal depth from occlusion using optical flow: A neural model
نویسندگان
چکیده
منابع مشابه
Motion and Depth from Optical Flow
Passive navigation of mobile robots is one of the challenging goals of machine vision. This note demonstrates the use of optical flow, which encodes the visual information in a sequence of time varying images [1], for the recovery of motion and the understanding of the three dimensional structure of the viewed scene. By using a modified version of an algorithm, which has recently been proposed ...
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Abstrac t . While optical flow has been often proposed for guiding a moving robot, its computational complexity has mostly prevented its actual use in real applications. We describe a restricted form of optical flow algorithm, which can be parallelized on chain-like neuronal structures, combining simplicity and speed. In addition, this algorithm makes use of predicted motion trajectories in ord...
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We present an optical-flow-based algorithm to smoothly interpolate between two images. We reason about the depth ordering of objects, and show how bidirectional flow can be used to reduce holes in the estimated flow at the interpolated time and perform occlusion reasoning. We develop a purely pixel-wise algorithm and then add spatial regularization. We evaluate our algorithm on the interpolatio...
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In the last 25 years optical flow has become more and more important in the field of Computer Vision. Many algorithms have been published since the first paper in 1981 and a lot of concepts have been introduced facing problems which occur when the pixel displacements between frames are determined. Even though todays algorithms explicitly consider violations of their model assumptions, they stil...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2011
ISSN: 1534-7362
DOI: 10.1167/11.11.716