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January 6, 2015 / Last updated : February 22, 2021 irfan WACV

Paper in WACV (2015): “Semantic Instance Labeling Leveraging Hierarchical Segmentation"

Paper Abstract Most of the approaches for indoor RGBD semantic labeling focus on using pixels or superpixels to train a classifier. In this paper, we implement a higher level segmentation using a hierarchy of superpixels to obtain a better segmentation for training our classifier. By focusing on meaningful segments that conform more directly to objects, […]

June 22, 2014 / Last updated : February 22, 2021 irfan CVPR

Paper in CVPR 2014 “Efficient Hierarchical Graph-Based Segmentation of RGBD Videos”

Abstract We present an efficient and scalable algorithm for seg- menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving window over several point clouds to group similar regions over a graph, resulting in an initial over-segmentation. These regions are then merged […]

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