CORDIS Project
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This project focuses on enhancing the resolution of time-of-flight cameras by utilizing advanced techniques to improve depth mapping. By applying calibration methods and adaptive kernels, it aims to produce high-resolution depth maps for various applications, including 3D modeling and industrial automation.
The objective of this proposal is to increase the range resolution of time-of-flight (ToF) cameras by utilizing correlation among multi-frame data through projection onto convex sets (POCS) technique.
Our work aims to produce a super-resolution depth map and reduce the depth error. A calibration based technique is proposed to form constraint sets that will compensate for spatially varying depth errors within the work volume.
Our proposed framework incorporates adaptive kernels along with novel c…
ASELSAN ELEKTRONIK SANAYI VE TICARET ANONIM SIRKETI
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