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

Related Publications

Cornell University

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© 2019 Ali Khaloo​

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