Conference
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)