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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2010)
San Francisco, CA, USA
June 13, 2010 to June 18, 2010
ISBN: 978-1-4244-6984-0
pp: 942-949
Minh-Tri Pham , Surrey Space Centre, University of Surrey, England
Yang Gao , Surrey Space Centre, University of Surrey, England
Viet-Dung D. Hoang , School of Computer Engineering, Nanyang Technological University, Singapore
Tat-Jen Cham , School of Computer Engineering, Nanyang Technological University, Singapore
ABSTRACT
The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integration over the interior of any polygon that is not necessarily rectilinear. The integration time of the method is fast, independent of the image resolution, and only linear to the polygon's number of vertices. We apply the method to Viola and Jones' object detection framework, in which we propose to improve classical Haar-like features with polygonal Haar-like features. We show that the extended feature set improves object detection's performance. The experiments are conducted in three domains: frontal face detection, fixed-pose hand detection, and rock detection for Mars' surface terrain assessment.
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CITATION

M. Pham, Y. Gao, T. Cham and V. D. Hoang, "Fast polygonal integration and its application in extending haar-like features to improve object detection," 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), San Francisco, CA, USA, 2010, pp. 942-949.
doi:10.1109/CVPR.2010.5540117
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