Registration of colored 3D point clouds with a Kernel-based extension to the normal distributions transform

— We present a new algorithm for scan registration of colored 3D point data which is an extension to the Normal Distributions Transform (NDT). The probabilistic approach of NDT is extended to a color-aware registration algorithm by modeling the point distributions as Gaussian mixture-models in color space. We discuss different point cloud registration techniques, as well as alternative variants of the proposed algorithm. Results showing improved robustness of the proposed method using real-world data acquired with a mobile robot and a time-of-flight camera are presented.

• Type: Conference
• Year: 2008
• Where: ICRA
• Authors: Benjamin Huhle, Martin Magnusson 0002, Wolfgang Straßer, Achim J. Lilienthal
• Keywords: Color-aware Registration Algorithm, ICRA 2008, Point Cloud Registration, Point Distributions, Robotics