DocumentCode :
671086
Title :
Dense depth acquisition via one-shot stripe structured light
Author :
Qin Li ; Fu Li ; Guangming Shi ; Fei Qi ; Yuexin Shi ; Shan Gao
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding (Chinese Minist. of Educ.), Xidian Univ., Xi´an, China
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Depth acquisition for moving objects becomes increasingly critical for some applications such as human facial expression recognition. This paper presents a method for capturing the depth maps of moving objects that uses a one-shot black-and-white stripe pattern with the features of simplicity and easily generation. Considering the accuracy of a matching is crucial for a precise depth map but the matching of variant-width stripes is sparse and rough, the phase differences extracted by Gabor filter to achieve a pixel-wise matching with sub-pixel accuracy are used. The details of the derivation are presented to prove that this method based on the phase difference calculated by Gabor filter is valid. In addition, the periodic ambiguity of the encoded stripe is eliminated by the epipolar segment covering a given depth range at a camera-projector calibrating stage to decrease the calculation complexity. Experimental results show that our method can get a dense and accurate depth map of a moving object.
Keywords :
Gabor filters; face recognition; image matching; Gabor filter; accurate depth map; calculation complexity; camera projector calibrating stage; dense depth acquisition; epipolar segment covering; human facial expression recognition; moving objects; one shot stripe structured light; periodic ambiguity; phase differences; pixel wise matching; precise depth map; subpixel accuracy; variant width stripes; Accuracy; Cameras; Color; Gabor filters; Image edge detection; Pattern matching; Shape; Structured light; phase-difference based matching; stripe pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
Type :
conf
DOI :
10.1109/VCIP.2013.6706402
Filename :
6706402
Link To Document :
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