Oriented object proposals

• Main Authors: HE, Shengfeng, LAU, Rynson W. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Computer vision; Generation method; Object detectors; Probabilistic modeling; Rotation invariant; Applied Statistics; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8430; https://ink.library.smu.edu.sg/context/sis_research/article/9433/viewcontent/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf
• Institution: Singapore Management University

In this paper, we propose a new approach to generate oriented object proposals (OOPs) to reduce the detection error caused by various orientations of the object. To this end, we propose to efficiently locate object regions according to pixelwise object probability, rather than measuring the objectne...