Analysis and interpretation of range images
Analysis and interpretation of range images
On Three-Dimensional Surface Reconstruction Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Constructing object models from multiple images
International Journal of Computer Vision
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys (CSUR)
Dynamic-Scale Model Construction From Range Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Intelligent and Robotic Systems
3D scene analysis from a single range image through occlusion graphs
Pattern Recognition Letters
Learning membership functions in a function-based object recognition system
Journal of Artificial Intelligence Research
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A new approach is presented for extracting an explicit 3-D shape model from a single range image. One novel aspect is that the model represents both observed object surfaces, and surfaces which bound the volume of occluded space. Another novel aspect is that the approach does not require that the range image segmentation be perfect. The low-level segmentation may be such that the model-building process encounters topology versus geometry conflicts. The model-building process is designed to be 驴fail soft驴 in the face of such problems. The portion of the 3-D model where a problem presents itself is 驴glued驴 together in a manner meant to minimize the disturbance in the 3-D shape. The goal is to produce a valid boundary-representation which can be processed by higher-level routines. A third novel aspect of this work is that the implementation has been evaluated on over 200 real range images of polyhedral objects, with no operator intervention and all parameters held constant, and obtained a 97% success rate in creating valid b-reps.