4D Hue-assisted change analysis in colored point clouds
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A new and robust algorithm for automatic detection and quantification of structural deficiencies in colored 3D point clouds
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Utilizing both local geometry and color properties associated with each point to maximize the capability of this point-wise change detection algorithm
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Improving the distinctiveness of each individual 3D point by considering their respective optimal k-sized neighborhood
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Using a perceptual color representation to improve the robustness of the algorithm in scenarios with variation in lighting conditions during data acquisition
Related Publications
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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.
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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.
