Real-Time Camera Calibration for Virtual Studio |
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| Affiliation: | 1. Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark (Zoological Museum), University of Copenhagen, Universitetsparken 15, 2100, Copenhagen, Denmark;2. Serviço de Referência Nacional em Vetores das Riquetsioses (LIRN), Coleção de Artrópodes Vetores Ápteros de Importância em Saúde das Comunidades (CAVAISC), IOC-FIOCRUZ, Manguinhos, 21040360, Rio de Janeiro, RJ, Brazil;3. Division of Invertebrate Zoology, Arachnology Lab, American Museum of Natural History, Central Park West at 79th Street, New York, NY, 10024-5192, USA;1. R&D Business Lab, Hyosung Corporation, Anyang 431-080, Republic of Korea;2. Department of LED Convergence Engineering, Pukyong National University, Busan 608-739, Republic of Korea;3. Interdisciplinary Program of LED and Solid State Light Engineering, Pukyong National University, Busan 608-737, Republic of Korea;4. Department of Display Engineering, Pukyong National University, Busan 608-797, Republic of Korea;1. ERPTM, Polydisciplinary Faculty, Sultan Moulay Slimane University, Béni Mellal, Morocco;2. EPTHE, Physics Department, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco;3. High Energy Physics and Astrophysics Laboratory, Faculty of Science Semlalia, Cadi Ayyad University, 40000 Marrakesh, Morocco;1. Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States;2. Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States |
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| Abstract: | In this paper, we present an overall algorithm for real-time camera parameter extraction, which is one of the key elements in implementing virtual studio, and we also present a new method for calculating the lens distortion parameter in real time. In a virtual studio, the motion of a virtual camera generating a graphic studio must follow the motion of the real camera in order to generate a realistic video product. This requires the calculation of camera parameters in real-time by analyzing the positions of feature points in the input video. Towards this goal, we first design a special calibration pattern utilizing the concept of cross-ratio, which makes it easy to extract and identify feature points, so that we can calculate the camera parameters from the visible portion of the pattern in real-time. It is important to consider the lens distortion when zoom lenses are used because it causes nonnegligible errors in the computation of the camera parameters. However, the Tsai algorithm, adopted for camera calibration, calculates the lens distortion through nonlinear optimization in triple parameter space, which is inappropriate for our real-time system. Thus, we propose a new linear method by calculating the lens distortion parameter independently, which can be computed fast enough for our real-time application. We implement the whole algorithm using a Pentium PC and Matrox Genesis boards with five processing nodes in order to obtain the processing rate of 30 frames per second, which is the minimum requirement for TV broadcasting. Experimental results show this system can be used practically for realizing a virtual studio. |
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