4D Hue-assisted change analysis

4D Hue-assisted change analysis in colored point clouds

A new and robust algorithm for automatic detection and quantification of structural deficiencies in colored 3D point clouds
Utilizing both local geometry and color properties associated with each point to maximize the capability of this point-wise change detection algorithm
Improving the distinctiveness of each individual 3D point by considering their respective optimal k-sized neighborhood
Using a perceptual color representation to improve the robustness of the algorithm in scenarios with variation in lighting conditions during data acquisition

Khaloo, A., & Lattanzi, D. (2019). "Automatic Detection of Structural Deficiencies Using 4D Hue-Assisted Analysis of Color Point Clouds." In Dynamics of Civil Structures, Volume 2(pp. 197-205). Springer, Cham.
Khaloo, A., and Lattanzi, D. (2017) "Integrating 3D Computer Vision and Robotic Infrastructure Inspection" 11th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, September 2017.