Vector field based depth acquisition algorithm

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Abstract Scene foregrounds and backgrounds can be separated according to their depth to greatly improve human-computer interaction (HCI). Depth sensors using surface structured light are practical and widely used. The depth information is obtained using an image block matching algorithm, which searches for the optimal matching block in the image. However, the complex computations require high-performance computers or special chips to achieve real-time performance which increase the depth sensor cost. This paper describes a depth acquisition method based on vector field pattern recognition. The scene depth information is obtained by feature recognition of the vector field for every depth point. The vector field is first generated based on the depth features, then the depth information hidden in the vector field is converted to feature information by the pattern recognition algorithm. The depth information is then obtained by feature matching after an inverse transformation. The inverse transformation uses a searching strategy similar to Hash mapping, which avoids the complexity of a linear search. A smart TV with an infrared transmitter can easily realize natural HCI using this method.

Keywords depth image structured light vector field

ZTFLH:

TP391.4

Issue Date: 15 August 2015

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	LU Haiming
	WANG Yijiao
	XIE Zhaoxia

Cite this article:

LU Haiming,WANG Yijiao,XIE Zhaoxia. Vector field based depth acquisition algorithm[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(8): 916-920.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2015/V55/I8/916

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