Passive Range Sensing Techniques: Depth from Images

• YOKOTA Naokazu

  Graduate School of Information Science, Nara Institute of Science and Technology

• SHAKUNAGA Takeshi

  the Faculty of Engineering, Okayama University

• KANBARA Masayuki

  Graduate School of Information Science, Nara Institute of Science and Technology

抄録

Acquisition of three-dimensional information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades. Noncontact range acquisition techniques can be essentially classified into two classes: Passive and active. This paper concentrates on passive depth extraction techniques which have the advantage that 3-D information can be obtained without affecting the scene. Passive range sensing techniques are often referred to as shape-from-x, where x is one of visual cues such as shading, texture, contour, focus, stereo, and motion. These techniques produce 2.5-D representations of visible surfaces. This survey discusses aspects of this research field and reviews some recent advances including video-rate range imaging sensors as well as emerging themes and applications.

収録刊行物

• IEICE transactions on information and systems

  IEICE transactions on information and systems 82 (3), 523-533, 1999-03-25

  一般社団法人電子情報通信学会

キーワード

• computer vision
• passive range sensing
• shape-from-X
• stereo
• motion
• shape recovery

詳細情報

• CRID: 1570854177488393216
• NII論文ID: 110003210129
• 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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