期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 71, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2022.3165271
关键词
Cameras; Image reconstruction; Mirrors; Calibration; Shape; Optical imaging; Optical sensors; 3-D shape reconstruction; computational imaging; computer vision; field-of-view (FOV) enlargement; stereovision system
资金
- Research on the Major Scientific Instrument of National Natural Science Foundation of China [61727809]
- Major Science and Technology Project of Anhui Province [201903c08020002, 2019b05050006]
- National Key Research and Development Program of China [2019YFC0117800]
This article proposes a FOV-enlarged single-camera 3-D shape reconstruction system by using a saccade mirror to generate virtual cameras and reconstruct objects with multiview images. The system achieves a larger FOV without sacrificing image resolution, simplifies the calibration process, and demonstrates robustness in real-life experiments.
The 3-D shape reconstruction is a hot topic in computational imaging and many related techniques have been developed. However, most of these techniques have a limited field-of-view (FOV), which results in difficulties on general application. In this article, an FOV-enlarged single-camera 3-D shape reconstruction system is proposed. By placing a saccade mirror in the light path, the proposed system generates a series of virtual cameras and reconstructs the object with multiview images. As the virtual cameras have the same resolution with the real camera, the system gets a larger FOV for reconstruction without sacrificing image resolution. Besides, compared with conventional stereovision systems, the proposed system gives a prior of postures of virtual cameras and simplifies the calibration procedure of extrinsic parameters, which makes it a compact and economical system for application. Reconstruction experiments demonstrate that the proposed system provides an FOV-enlarged and accurate 3-D shape reconstruction. Furthermore, the robustness of the system to environmental conditions is also verified by real-life experiments.
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