Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Closed-Form Solutions for Physically Based Shape Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Perception of 3-D Surfaces from 2-D Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Nonrigid Motion Estimation Through Physics-Based Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Level-Set Approach to 3D Reconstruction from Range Data
International Journal of Computer Vision
Creating generative models from range images
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Part-Based 3D Descriptions of Complex Objects from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Model Abstraction from Examples
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Adaptive Parameterization for Reconstruction of 3D Freeform Objects from Laser-Scanned Data
PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
A Software Tool for Real-Time Low-Level Vision
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Stereo vision system for precision dimensional inspection of 3D holes
Machine Vision and Applications
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A 3D image processing method for manufacturing process automation
Computers in Industry - Special issue: Machine vision
Exploration trees on highly complex scenes: A new approach for 3D segmentation
Pattern Recognition
A 3D image processing method for manufacturing process automation
Computers in Industry
Affordance-based human-robot interaction
Proceedings of the 2006 international conference on Towards affordance-based robot control
Parts-based 3D object classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Rigid 3D geometry matching for grasping of known objects in cluttered scenes
International Journal of Robotics Research
A novel tool for segmenting 3D medical images based on generalized cylinders and active surfaces
Computer Methods and Programs in Biomedicine
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We present a method for segmenting and estimating the shape of 3D objects from range data. The technique uses model views, or aspects, to constrain the fitting of deformable models to range data. Based on an initial region segmentation of a range image, regions are grouped into aspects corresponding to the volumetric parts that make up an object. The qualitative segmentation of the range image into a set of volumetric parts not only captures the coarse shape of the parts, but qualitatively encodes the orientation of each part through its aspect. Knowledge of a part's coarse shape, its orientation, as well as the mapping between the faces in its aspect and the surfaces on the part provides strong constraints on the fitting of a deformable model (supporting both global and local deformations) to the data. Unlike previous work in physics-based deformable model recovery from range data, the technique does not require presegmented data. Furthermore, occlusion is handled at segmentation time and does not complicate the fitting process, as only 3D points known to belong to a part participate in the fitting of a model to the part. We present the approach in detail and apply it to the recovery of objects from range data.