Capturing 2½D Depth and Texture of Time-Varying Scenes Using Structured Infrared Light
| Autor: | Avideh Zakhor, Christian Frueh |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Infrared
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video camera Triangulation (computer vision) Visual appearance Motion capture law.invention Silhouette medicine.anatomical_structure law Depth map Computer graphics (images) Line (geometry) medicine Human eye Computer vision Artificial intelligence business Interpolation Structured light |
| Zdroj: | CVPR Workshops |
| DOI: | 10.1109/cvpr.2005.428 |
| Popis: | In this paper, we describe an approach to simultaneously capture visual appearance and depth of a time-varying scene. Our approach is based on projecting structured infrared (IR) light. Specifically, we project a combination of (a) a static vertical IR stripe pattern, and (b) a horizontal IR laser line sweeping up and down the scene; at the same time, the scene is captured with an IR-sensitive camera. Since IR light is invisible to the human eye, it does not disturb human subjects or interfere with human activities in the scene; in addition, it does not affect the scenes visual appearance as recorded by a color video camera. Vertical lines in the IR frames are identified using the horizontal line, intra-frame tracking, and inter-frame tracking; depth along these lines is reconstructed via triangulation. Interpolating these sparse depth lines within the foreground silhouette of the recorded video sequence, we obtain a dense depth map for every frame in the video sequence. Experimental results corresponding to a dynamic scene with a human subject in motion are presented to demonstrate the effectiveness of our proposed approach. |
| Databáze: | OpenAIRE |
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