2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDMLR-APPL-MDSP.4
Paper Title DEPTH CORRECTION FOR TIME-OF-FLIGHT CAMERA USING DEPTH DISTORTION DEPENDENCY ON PULSE WIDTH OF IRRADIATED LIGHT
Authors Tenta Sasaya, Wataru Watanabe, Toshiyuki Ono, Toshiba Corporation, Japan
SessionMLR-APPL-MDSP: Machine learning for multidimensional signal processing
LocationArea F
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Applications of Machine Learning: Machine learning for multidimensional signal processing
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Abstract Time-of-flight (ToF) cameras are 3D cameras that hold great promise in many industrial fields; however, differences in the reflective properties (due to material or color) of the target object surface cause systematic errors of several centimeters. Although many methods have been proposed to correct systematic errors occurring in ToF cameras, such methods do not explicitly consider the reflective property of the object surface, and the effectiveness of such corrections have been confirmed only for a limited number of materials. To address these systematic errors, we propose a new depth correction technique that accounts for the reflective properties of the object by using the idea that the measured depth obtained with multiple irradiation pulse widths depends on the reflective property. Experiments using objects of various materials demonstrated the effectiveness of the proposed method.