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Visual Perception Theory Guided Image Perceptual Depth Estimation
Li B(李兵)
Source PublicationInt. J. of Innovative Computing Information and Control
2007
Volume3Issue:6Pages:1625-1634
Abstract
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.
KeywordVisual Perception
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20380
Collection09年以前成果
AffiliationBeijing Jiaotong University
Recommended Citation
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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