TY - GEN
T1 - An Efficient Technique for Filtering of 3D Cluttered Surfaces
AU - Joshi, Piyush
AU - Rastegarpanah, Alireza
AU - Stolkin, Rustam
PY - 2021/10/6
Y1 - 2021/10/6
N2 - 3D Object recognition is a rapidly growing research field in the area of computer vision. The presence of cluttered surfaces is the main obstacle to object recognition. In this paper, we propose to present a technique for automatic filtering of cluttered surfaces. First, the technique clusters a point cloud and then based on three features that are size, distance and spatial information, cluttered surfaces are separated. To the best of our knowledge, this is the first technique that can remove any cluttered surface (plane or irregular) from a point cloud. We have experimented on two complex RGBD datasets containing heavily cluttered surfaces and using the proposed metric, we measure the remaining cluttered surfaces after filtering of a point cloud. The proposed clutter filtering has removed 87.60% and 89.68% cluttered surfaces for Challenge and Willow datasets respectively.
AB - 3D Object recognition is a rapidly growing research field in the area of computer vision. The presence of cluttered surfaces is the main obstacle to object recognition. In this paper, we propose to present a technique for automatic filtering of cluttered surfaces. First, the technique clusters a point cloud and then based on three features that are size, distance and spatial information, cluttered surfaces are separated. To the best of our knowledge, this is the first technique that can remove any cluttered surface (plane or irregular) from a point cloud. We have experimented on two complex RGBD datasets containing heavily cluttered surfaces and using the proposed metric, we measure the remaining cluttered surfaces after filtering of a point cloud. The proposed clutter filtering has removed 87.60% and 89.68% cluttered surfaces for Challenge and Willow datasets respectively.
KW - Cluttered surface
KW - Cluttered surface filtering
KW - 3D object recognition
UR - https://publons.com/wos-op/publon/64155957/
U2 - 10.1007/978-3-030-87897-9_4
DO - 10.1007/978-3-030-87897-9_4
M3 - Conference contribution
SN - 9783030878962
T3 - Lecture Notes in Computer Science
SP - 36
EP - 43
BT - Artificial Intelligence and Soft Computing
A2 - Rutkowski, Leszek
A2 - Scherer, Rafał
A2 - Korytkowski, Marcin
A2 - Pedrycz, Witold
A2 - Tadeusiewicz, Ryszard
A2 - Zurada, Jacek M.
PB - Springer
T2 - 20th International Conference on Artificial Intelligence and Soft Computing
Y2 - 21 June 2021 through 23 June 2021
ER -