An optimisation design of adaptive illumination for a multi-reflective 3D scene |
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| Institution: | 1. School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. Vision Lab. ISEN Brest, L@bISEN, 20 rue Cuirassé Bretagne, CS 42807, 29228 Brest Cedex 2, France;3. Université de Brest, Lab-STICC, 6 avenue Le Gorgeu, CS 93837, 29238 Brest Cedex 3, France;1. Depto. de Ingeniería Robótica, Universidad Politécnica del Bicentenario, Carr. Silao - Romita Km 2, San Juan de los Duran, C.P. 36283 Silao, Guanajuato, Mexico;2. Centro de Investigaciones en Óptica A.C., Loma del Bosque 115, Lomas del Campestre, CP 37150 León, Guanajuato, Mexico;1. School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;2. School of Computer Science and Information Technology, Liaoning Normal University, Dalian Liaoning, China;3. Department of Information and Communications, Pukyong National University, 599-1, Daeyeon 3-Dong, Nam-Gu, Busan, Republic of Korea;1. Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA;2. Department of Mechanical Engineering, Northern Illinois University, DeKalb, IL 60115, USA;3. Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari 70126, Italy |
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| Abstract: | An illumination optimisation technique applied to multi-reflective 3-D machine vision based on a projector-camera system is introduced, in which the projector plays a key role to compensate for surface reflectance at each pixel to be inversely proportional to the brightness of the pixel under ambient light. The adaptive illumination technology was achieved by iterations emphasising different illumination intensities according to different surface orientations and requiring an accurate correspondence between the projector pixels and the camera pixels. In order to establish the most effective correspondence to prepare for subsequent adaptive illumination, 4 kinds of grating patterns, including sinusoidal, rectangular, triangular, and dual-frequency sinusoidal grating patterns, were projected and compared. The iterations were halted when an optimally lit scene was obtained; the further experiments under weak and strong light searched for the best method of illumination optimisation and confirmed the reliability of the adaptive illumination. The proposed optimisation design could run in real time and became a viable solution for industry. |
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| Keywords: | Adaptive illumination Projector-camera system Machine vision Iteration |
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