Kar, Seng Loke (2017) Object contour completion by combining object recognition and local edge cues. Journal of Information and Communication Technology, 16 (2). pp. 224-242. ISSN 2180-3862

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Abstract

We developed a top-down and bottom-up segmentation of objects using shape contours through a two-stage procedure.First, the object was identified using an edge-based contour feature and then the object contour was obtained using a constraint optimization procedure based on the results from the earlier identified contours.The initial object detection provides object category specific information for the contour completion to be effected.We argue that top-down bottom-up interaction architecture has plausible neurological correlates.This method has an advantage in that it does not require learning boundaries with large datasets.

Item Type:	Article
Uncontrolled Keywords:	Computer vision, object segmentation, object detection, contour extraction, scene interpretation, image understanding.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	29 Apr 2018 01:42
Last Modified:	29 Apr 2018 01:42
URI:	https://repo.uum.edu.my/id/eprint/24036

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