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Visual Perception Theory Guided Image Perceptual Depth Estimation
Li B(李兵)
2007
发表期刊Int. J. of Innovative Computing Information and Control
卷号3期号:6页码:1625-1634
摘要
Depth estimation is a classical problem in computer vision. The depth of
image is conventionally defined as the distance between the corresponding scene point
of the image and the pinhole of the camera, which is not in harmony with the depth
perception of human vision. In this paper we define a new perceptual depth of image
which is perceived by human vision. The traditional computation models of image depth
are all based on the physical imaging model, which ignores the human depth perception.
This paper presents a novel computation model based on the visual perception theory. In
this approach, using Pictorial Cues like sky and ground, we can get the relative perceptual
depth from a single 2-D image. Experimental results show that our model is effective and
corresponds to the human perception.
关键词Visual Perception
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20380
专题09年以前成果
作者单位Beijing Jiaotong University
推荐引用方式
GB/T 7714
Li B. Visual Perception Theory Guided Image Perceptual Depth Estimation[J]. Int. J. of Innovative Computing Information and Control,2007,3(6):1625-1634.
APA Li B.(2007).Visual Perception Theory Guided Image Perceptual Depth Estimation.Int. J. of Innovative Computing Information and Control,3(6),1625-1634.
MLA Li B."Visual Perception Theory Guided Image Perceptual Depth Estimation".Int. J. of Innovative Computing Information and Control 3.6(2007):1625-1634.
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