Tag: point cloud

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Paper by Dr. Anh-Vu Vo one of ISPRS’s Most Cited Articles

Dr. Anh-Vu Vo’s 2015 paper “Octree-based region growing for point cloud segmentation” is one of ISPRS Journal of Photogrammetry and Remote Sensing’s most highly cited papers since 2015. The paper has been cited in 82 publications, according to Scopus.

Dr. Vo’s paper introduces a novel, region-growing algorithm for the fast surface patch segmentation of three-dimensional point clouds of urban environments, which proved to be at least an order of magnitude faster when compared to a conventional region growing method and able to incorporate semantic-based feature criteria, while achieving precision, recall, and fitness scores of at least 75% and as much as 95%.

ISPRS Journal of Photogrammetry and Remote Sensing is the #1 ranked journal in the field of remote sensing with an impact factor of 5.994. It covers work across photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The full list of highly cited papers can be found on the ISPRS Journal of Photogrammetry and Remote Sensing website.

 

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Prof. Laefer Introduces ieSoSc Students to LiDAR Point Clouds

As a part of NYU Tandon’s Innovation, Entrepreneurship and the Science of Smart Cities (ieSoSC) program for K-12 students, Prof. Debra Laefer introduced this summer’s cohort to the wide world of aerial laser scanning. In addition to receiving an introduction to laser scanning, the students also had the opportunity to work with real world laser scanning point clouds collected in Dublin, Ireland. Students also learned how to create video fly-throughs of the data using the open source software CloudCompare.

Prof. Laefer was delighted to have the opportunity to share her research with the next generation of emerging urban scientists and looks forward to continued collaboration with the ieSoSC program.