Shape Description With a Space Variant Sensor Algorithms for Scan Path Fusion
Shape Description With a Space Variant Sensor Algorithms for Scan Path Fusion
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The following generic problems are raised by considering a a space variant system: 1. ) Given a series of space-variant contour based scenes, with different "fixation points", how might one fuse these into a single, multi-scan view, which incorporates the information present in the individual scans?
2. ) How might one choose successive fixations points, in order to rapidly gather shape dependent data? Is there a simple attentional algorithm for contour based scenes? 3. ) How could one quantify ...the rate of convergence of such a system, as a function of the number of scans? What is the rate of convergence suggested by such a metric? ^ In the present work, we do not address the classical issues of how the system ( human or machine) is to obtain knowledge of its motor state (see 5). Our intention here is to discuss the image processing problem of blending together multiple scans, obtained from a strongly space variant sensor, and the problem of choosing a "scan ' In this paper, we do not discuss the detailed spatial architecture of primary visual cortex, which would include details such as ocular dominance columns, orientation columns, etc.
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To quickly assess the difficulty of the text, read a short excerpt:
The following generic problems are raised by considering a a space variant system: 1. ) Given a series of space-variant contour based scenes, with different "fixation points", how might one fuse these into a single, multi-scan view, which incorporates the information present in the individual scans?
2. ) How might one choose successive fixations points, in order to rapidly gather shape dependent data? Is there a simple attentional algorithm for contour based scenes? 3. ) How could one quantify ...the rate of convergence of such a system, as a function of the number of scans? What is the rate of convergence suggested by such a metric? ^ In the present work, we do not address the classical issues of how the system ( human or machine) is to obtain knowledge of its motor state (see 5). Our intention here is to discuss the image processing problem of blending together multiple scans, obtained from a strongly space variant sensor, and the problem of choosing a "scan ' In this paper, we do not discuss the detailed spatial architecture of primary visual cortex, which would include details such as ocular dominance columns, orientation columns, etc.
What to read after Shape Description With a Space Variant Sensor Algorithms for Scan Path Fusion?
You can find similar books in the "Read Also" column, or choose other free books by Yehezkel Yeshurun to read onlineMoreLess
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