6533b7dbfe1ef96bd1270986

RESEARCH PRODUCT

GPU-Based Occlusion Minimisation for Optimal Placement of Multiple 3D Cameras

Joacim DybedalGeir Hovland

subject

Computer sciencebusiness.industry010401 analytical chemistryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technology01 natural sciencesMinimisation (clinical trials)0104 chemical sciencesCUDAViewing frustumOcclusion0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS

description

This paper presents a fast GPU-based solution to the 3D occlusion detection problem and the 3D camera placement optimisation problem. Occlusion detection is incorporated into the optimisation problem to return near-optimal positions for 3D cameras in environments containing occluding objects, which maximises the volume that is visible to the cameras. In addition, the authors’ previous work on 3D sensor placement optimisation is extended to include a model for a pyramid-shaped viewing frustum and to take the camera’s pose into account when computing the optimal position.

yearjournalcountryeditionlanguage
2020-11-092020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
https://doi.org/10.1109/iciea48937.2020.9248399