Perceptual organization and the representation of natural form
Artificial Intelligence
3DPO: A three-dimensional part orientation system
International Journal of Robotics Research
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
From volumes to views: an approach to 3-D object recognition
CVGIP: Image Understanding - Special issue on directions in CAD-based vision
Recognizing geons from superquadratics fitted to range data
Image and Vision Computing - Special issue: range image understanding
Segmentation of range images as the search for geometric parametric models
International Journal of Computer Vision
Superquadrics for Segmenting and Modeling Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Segmentation and recovery of superquadrics: computational imaging and vision
Segmentation and recovery of superquadrics: computational imaging and vision
Computer vision and graphics techniques for modeling dressed humans
Confluence of computer vision and computer graphics
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Superquadrics and Angle-Preserving Transformations
IEEE Computer Graphics and Applications
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This paper proposes a technique for object recognition using superquadric built models. Superquadrics, which are three dimensional models suitable for part-level representation of objects, are reconstructed from range images using the recover-and-select paradigm. Using an interpretation tree, the presence of an object in the scene from the model database can be hypothesized. These hypotheses are verified by projecting and re-fitting the object model to the range image which at the same time enables a better localization of the object in the scene.