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

Abstract

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.

Journal

• IEICE transactions on information and systems

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

  The Institute of Electronics, Information and Communication Engineers

Keywords

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

Details

• CRID: 1574231876678803328
• NII Article ID: 110004719410
• NII Book ID: AA10826272
• ISSN: 09168532
• Text Lang: en
• Data Source:
  • CiNii Articles