Depth Perception from a 2D Natural Scene Using Scale Variation of Texture Patterns

• KANG Yousun

  Imaging Science and Engineering Laboratory, Tokyo Institute of Technology

• NAGAHASHI Hiroshi

  Imaging Science and Engineering Laboratory, Tokyo Institute of Technology

抄録

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.

収録刊行物

• IEICE transactions on information and systems

  IEICE transactions on information and systems 89 (3), 1294-1298, 2006-03-01

  一般社団法人電子情報通信学会

キーワード

• depth perception
• texture gradient
• hierarchical discriminant analysis
• autocorrelation functions

詳細情報

• CRID: 1574231876678803328
• NII論文ID: 110004719410
• NII書誌ID: AA10826272
• ISSN: 09168532
• 本文言語コード: en
• データソース種別:
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