An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
3D Part Segmentation Using Simulated Electrical Charge Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation and comparison of different segmentation algorithms
Pattern Recognition Letters
Robust Adaptive Segmentation of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Vision for Complete Scene Reconstruction and Exploration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Constraint-Based Sensor Planning for Scene Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range image segmentation of scenes with occluded curved objects
Pattern Recognition Letters
A Flexible Similarity Measure for 3D Shapes Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploration trees on highly complex scenes: A new approach for 3D segmentation
Pattern Recognition
3D scene analysis from a single range image through occlusion graphs
Pattern Recognition Letters
Robust depth camera based eye localization for human-machine interactions
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
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In this paper we present a method for automatic segmentation of 3D complex scenes from a single range image. A complex scene includes several objects with: irregular shapes, occlusion, the same colour or intensity level and placed in any pose. Unlike most existing methods which proceed with a set of images obtained from different viewpoints, in this work a single view is used and a 3D segmentation process is developed to separate the constituent parts of a complex scene. The method is based on establishing suitable virtual-viewpoints in order to carry out a new range data segmentation technique. For a virtual-viewpoint a strategy [3D range data] - [2D projected range data] - [2D segmentation] - [3D segmented range data], is accomplished. The proposed method has been applied to a set of complex scenes and it can be said that the results guarantee the benefits of the method.