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Fast PRISM: Branch and Bound Hough Transform for Object Class Detection

Fast PRISM: branch and bound Hough transform for object class detection
Authors: Alain D. Lehmann; Bastian Leibe; Luc Van Gool;

Fast PRISM: Branch and Bound Hough Transform for Object Class Detection

Abstract

International Journal of Computer Vision, 94 (2)

ISSN:0920-5691

ISSN:1573-1405

Countries
Belgium, Switzerland
Keywords

Sliding-window, Technology, Object detection, PSI_VISICS, 4607 Graphics, augmented reality and games, Computer Science, Artificial Intelligence, 4611 Machine learning, branch and bound, soft-matching, Soft-matching, 0801 Artificial Intelligence and Image Processing, Artificial Intelligence & Image Processing, SCALE, Science & Technology, object detection, sliding-window, Computing methodologies for image processing, Machine vision and scene understanding, Spatial pyramid histograms, 4603 Computer vision and multimedia computation, Hough transform, Computer Science, Branch and bound, spatial pyramid histograms

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%
Green
bronze