Abstract
A practical way for obtaining depth in computer vision is the use of structured light systems. For panoramic depth reconstruction several images are needed which most likely implies the construction of a sensor with mobile elements. Moreover, misalignments can appear for non-static scenes. Omnidirectional cameras offer a much wider field of view than the perspective ones, capture a panoramic image at every moment and alleviate the problems due to occlusions. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to obtain panoramic depth information. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector.
This work is partially supported by the Spanish project CICYT TIC 2003-08106-C02-02 and by the AIRE mobility grant provided by the Generalitat of Catalunya that allowed a four month stay in the CREA lab from Amiens, France.
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Orghidan, R., Mouaddib, E.M., Salvi, J. (2005). A Computer Vision Sensor for Panoramic Depth Perception. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_19
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DOI: https://doi.org/10.1007/11492429_19
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