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Classification of Depth and Surface Edges with...
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Classification of Depth and Surface Edges with Deep Features

Abstract

Edges in 2D images fall into two categories: depth edges and surface edges, depending on if the edge corresponds to an abrupt change in depth (the distance from the camera). This edge type is an efficient, robust, and effective information in many applications. In this paper we study the problem of automatic classification of the two types of edges. We use features discovered by deep convolutional neural networks to predict the edge type. The …

Authors

Li Z; Wu X

Volume

00

Pagination

pp. 2433-2437

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 8, 2020

DOI

10.1109/icassp40776.2020.9053904

Name of conference

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)