International Journal of Computer Theory and Engineering (IJCTE)
In this paper, the authors describe an improved Hue-Assisted Normal Distributions Transform (HANDT), which enhances the accuracy of the registration of point clouds. In their previous paper, HANDT was developed to improve the speed and accuracy of registration by utilizing the hue from the huesaturation-value model. To improve the accuracy, the score function of HANDT is changed from the normal distribution function to the Mahalanobis distance function. In addition, the functions of the hue mean and variance are modified for the circular property of the hue. The performance of Normal Distributions Transform (NDT), HANDT, and improved HANDT are evaluated by benchmark data sets.