2013
CVPR
CVPR 2013
Towards Fast and Accurate Segmentation
Abstract
In this paper we explore approaches to accelerating segmentation and edge detection algorithms based on the gPb framework. The paper characterizes the performance of a simple but effective edge detection scheme which can be computed rapidly and offers performance that is competitive with the pB detector. The paper also describes an approach for computing a reduced order normalized cut that captures the essential features of the original problem but can be computed in less than half a second on a standard computing platform.
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Conference Pioneer
— CVPR 2013
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Interdisciplinary Bridge
— Computer Science and Computer Vision
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Trend Setter
— Computer Vision
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Keyword Pioneer
— graph-based segmentation
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Hot Topic Early Bird
— computer vision
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio