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Omnidirectional Depth Computation from a Single Image

Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications

IEEE

Author: Orghidan, Radu
Mouaddib, El Mustapha
Salvi Mas, Joaquim
Abstract: Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications
Document access: http://hdl.handle.net/2072/59271
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Percepció de la profunditat
Visió omnidireccional
Visió per ordinador
Visualització tridimensional (Informàtica)
Computer vision
Depth perception
Omnidirectional vision
Three-dimensional display systems
Title: Omnidirectional Depth Computation from a Single Image
Type: info:eu-repo/semantics/article
Repository: Recercat

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