Title :
Real Time Non-rigid Surface Detection Based on Binary Robust Independent Elementary Features
Author :
Chio-Tan Kuo ; Ling-Yu Tsai ; Min-yih Feng ; Chuin-Mu Wang ; Jian-Hong Liou
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Abstract :
The Feature Descriptor sometimes called descriptors has been a hot research topic and is a difficult challenge, a common feature descriptor algorithm is used to detect target, and further do other application cases automatically control, product inspection, face recognition and object tracking. For subsequent applications will therefore need to address issues related to extending such an object view to change, scale, rotation and multi-target detection, etc., so they need for effective algorithms to solve the above problems. In this paper we proposed based BRIEF (Binary Robust Independent Elementary Features)[1] binary feature descriptor to improve the non-rotational invariance of the shortcomings.
Keywords :
feature extraction; object detection; BRIEF; binary robust independent elementary features; face recognition; feature descriptor algorithm; multitarget detection; nonrotational invariance; object tracking; product inspection; real time nonrigid surface detection; Computer science; Educational institutions; Equations; Feature extraction; Mathematical model; Robustness; Vectors; BORB descriptor and rotational invariance; BRIEF descriptor; Bbinary descriptor;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.98