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20172024
most cited3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks

49 citations · 140 across the 12 of their papers we have counts for

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cs.CV2017★ 49 cited

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer

The point cloud is gaining prominence as a method for representing 3D shapes, but its irregular format poses a challenge for deep learning methods. The common solution of transform…

cs.CV2017★ 46 cited

Graph Based Over-Segmentation Methods for 3D Point Clouds

Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum +1

Over-segmentation, or super-pixel generation, is a common preliminary stage for many computer vision applications. New acquisition technologies enable the capturing of 3D point clo…