Part-level object recognition using superquadrics

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 interpretation trees, the presence of an object from the model database can be hypothesized. These hypotheses are verified by projecting and re-fitting the object model to the range image of the scene which at the same time enables a better localization of the object in the scene.

• Type: Journal
• Year: 2004
• Where: CVIU
• Authors: Jaka Krivic, Franc Solina
• Keywords: CVIU 2004, Object Recognition, Range Image, Superquadric Built Models