0000000001072074
AUTHOR
Ahmad Zawawi Jamaluddin
Design and calibration of an omni-RGB+D camera
International audience; In this paper, we present the design of a new camera combining both predator-like and prey-like vision features. This setup provides both a spherical RGB-view and a directional depth-view of the environment. The model and calibration of the full setup are described. A few examples will be given to demonstrate the interest and the versatility of such camera for robotics and video surveillance at the oral presentation.
Design and Calibration of a Specialized Polydioptric Camera Rig
International audience; It has been observed in the nature that all creatures have evolved highly exclusive sensory organs depending on their habitat and the form of resources availability for their survival. In this project, a novel omnidirectional camera rig, inspired from natural vision sensors, is proposed. It is exclusively designed to operate for highly specified tasks in the field of mobile robotics. Navigation problems on uneven terrains and detection of the moving objects while the robot is itself in motion are the core problems that omnidirectional systems tackle. The proposed omnidirectional system is a compact and a rigid vision system with dioptric cameras that provide a 360° f…
Design and modelling a of bimodal camera system
In computer vision, researchers face a challenging concern due to the limited field of view (FoV) when using standard cameras in capturing scenes. This problem of narrow FoV often encountered within applications that involve tasks which are related to the robot vision. Many authors have attempted, in different approaches, to solve this issue by fusing two cameras. However, they failed to improve the registration and fusing errors, where the obtained results still limited and not accurate enough. To deal with this limitation and decrease these errors, we propose a new method of camera calibration based on Interior-Point Optimisation (IPO) algorithm using transformation matrix estimation. Thi…