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UWindsor Beyond Primitive Features Presentation

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Beyond Primitive Features Haar-like, LBP, and PCA T. Akilan Department of Electrical and Computer Engineering University of Windsor Image Processing, Winter 2019 Instructor: Prof. QMJ. Wu Outline • Haar-like features • Local binary pattern (LBP) and its variations • Principal component analysis (PCA) for face recognition Digital Image Processing (4th Edition) Chapter 6.9: Haar Transform Akilan, Thangarajah (Uwin) Outline IP 2019 2 Haar wavelet to Haar-like features • Examples of Haar wavelet functions Alfréd Haar Original signal 1909 A Long History Shrank by 2 & horizontal translation Shrank by 4 & horizontal translation 2001 • By multiplying the Haar functions with an input function local behavior of the input function can be found. • Easy to compute. • Viola and Jones, "Rapid object detection using a boosted cascade of simple features", Computer Vision and Pattern Recognition, 2001. Akilan, Thangarajah (Uwin) Haar-like features IP 2019 3 Haar wavelet to Haar-like features • A Haar-like feature considers adjacent rectangular regions at a specific location in a detection window, sums up the pixel intensities in each region and calculates the difference between these sums. • Edge Features • Line Features • Center Features - Akilan, Thangarajah (Uwin) Haar-like features IP 2019 4 Haar wavelet to Haar-like features • The difference between the regions is then compared to a threshold that separates nonobjects from objects. • ...
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