Single-shot dense depth sensing with frequency-division multiplexing fringe projection |
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| Affiliation: | 1. Key Laboratory of Intelligent Perception and Image Understanding (Chinese Ministry of Education), School of Electronic Engineering, Xidian University, Xi’an 710071, China;2. University of Science and Technology of China, Hefei 230026, China;1. University of Catania - Department of Mathematics and Computer Science, Italy;2. STMicroelectronics, Advanced System Technology - Computer Vision, Italy;1. Instituto de Física y Matemáticas, Universidad Tecnológica de la Mixteca, Km 2.5 Carretera a Acatlima, Huajuapan de León, Oaxaca 69000, México;2. Facultad de Ciencias Físico-Matemáticas, Benemérita Universidad Autónoma de Puebla, Apdo. Postal 1152 Ciudad Universitaria, Puebla 72000, México;3. Universidad Tecnológica de Puebla, Mecatrónica, Antiguo Camino a la Resurrección 1002-A, 72300 Puebla, México;1. Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;2. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China. Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | In structured light illumination (SLI) systems, multi-shot fringe patterns can reach higher precision than a single-shot fringe pattern. However, multi-shot methods are not suitable for dynamic scenes while single-shot ones are limited in the measurement accuracy. In this paper, a novel single-shot depth sensing method with frequency-division multiplexing (FDM) framework is proposed. To achieve a simultaneous casting, two fringe patterns with coprime periods are modulated into a single pattern. The method of fringe pattern extraction is similar to the demodulation in communication systems. The Gabor filter is adopted to get the phase information in the pattern, and the coprime theorem is used to solve the phase ambiguity. Quantitative and qualitative evaluations have proved that our method achieves higher accuracy in depth sensing compared with the Kinect v1 and ToF camera. In addition, benefiting from the single-shot pattern, our method is suitable for dynamic scenes. |
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| Keywords: | Range finding Three-dimensional sensing Three-dimensional image acquisition Depth sensing Structured light |
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