Depth Perception from a 2D Natural Scene Using Scale Variation of Texture Patterns(Pattern Recognition)
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概要
- 論文の詳細を見る
In this paper, we introduce a new method for depth perception from a 2D natural scene using scale variation of patterns. As the surface from a 2D scene gets farther away from us, the texture appears finer and smoother. Texture gradient is one of the monocular depth cues which can be represented by gradual scale variations of textured patterns. To extract feature vectors from textured patterns, higher order local autocorrelation functions are utilized at each scale step. The hierarchical linear discriminant analysis is employed to classify the scale rate of the feature vector which can be divided into subspaces by recursively grouping the overlapped classes. In the experiment, relative depth perception of 2D natural scenes is performed on the proposed method and it is expected to play an important role in natural scene analysis.
- 社団法人電子情報通信学会の論文
- 2006-03-01
著者
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Nagahashi Hiroshi
Tokyo Inst. Technol.
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Nagahashi Hiroshi
The Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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Nagahashi Hiroshi
The Imaging Science And Engineering Laboratory Tokyo Institute Of Technology
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KANG Yousun
the Imaging Science and Engineering Laboratory, Tokyo Institute of Technology
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Kang Yousun
Tokyo Inst. Technol.
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Kang Yousun
The Imaging Science And Engineering Laboratory Tokyo Institute Of Technology:the Postdoctoral Fellow
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