Segmentation and Classification of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surfaces in range image understanding
Surfaces in range image understanding
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Curve and surface fitting with splines
Curve and surface fitting with splines
Fast segmentation of range images into planar regions by scan line grouping
Machine Vision and Applications
The NURBS book
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient volumetric method for building closed triangular meshes from 3-D image and point data
Proceedings of the conference on Graphics interface '97
Extremal feature extraction from 3-D vector and noisy scalar fields
Proceedings of the conference on Visualization '98
Edge detection in range images based on scan line approximation
Computer Vision and Image Understanding
Three-Dimensional Object Recognition from Range Images
Three-Dimensional Object Recognition from Range Images
Edge-Region-Based Segmentation of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Faithful Least-Squares Fitting of Spheres, Cylinders, Cones and Tori for Reliable Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Range Image Segmentation: Adaptive Grouping of Edges into Regions
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Extracting surface patches from complete range descriptions
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Robust meshes from multiple range maps
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
High-level surface descriptions from composite range images
ISCV '95 Proceedings of the International Symposium on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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Automatic acquisition of CAD models from existing objects requires accurate extraction of geometric and topological information from the input data. This chapter presents a range image segmentation method based on local approximation of scan lines. The method employs edge models that are capable of detecting noise pixels as well as position and orientation discontinuities of varying strengths. Region-based techniques are then used to achieve a complete segmentation. Finally, a geometric representation of the scene, in the form of a surface CAD model, is produced. Experimental results on a large number of real range images acquired by different range sensors demonstrate the efficiency and robustness of the method.