Stereo object proposals

• Main Authors: HUANG, Shao, WANG, Weiqiang, HE, Shengfeng, LAU, Rynson W. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Stereopsis; objectness estimation; object proposals; stereo object proposals; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7882
• Institution: Singapore Management University

Object proposal detection is an effective way of accelerating object recognition. Existing proposal methods are mostly based on detecting object boundaries, which may not be effective for cluttered backgrounds. In this paper, we leverage stereopsis as a robust and effective solution for generating o...