Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 107-111, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/107/2015/
doi:10.5194/isprsarchives-XL-5-W6-107-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
18 May 2015
FACIAL FEATURES DETECTION USING TEXTURE HOUGH TRANSFORM
V. S. Gorbatsevich The Federal State Unitary Enterprise «State Research Institute of Aviation Systems» Russia, Moscow
Keywords: Local Binary Pattern, Object detection, facial features detection, Hough transform Abstract. The paper presents an original method for object detection. The “texture” Hough transform is used as the main tool in the search. Unlike classical generalized Hough transform, this variation uses texture LBP descriptor as a primitive for voting. The voting weight of each primitive is assumed by learning at a training set. This paper gives an overview of an original method for weights learning, and a number of ways to get the maximum searching algorithm speed on practice.
Conference paper (PDF, 973 KB)


Citation: Gorbatsevich, V. S.: FACIAL FEATURES DETECTION USING TEXTURE HOUGH TRANSFORM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W6, 107-111, doi:10.5194/isprsarchives-XL-5-W6-107-2015, 2015.

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