This paper presents a novel representation and matching method for deformable shapes. The proposed approach finds most expressive segments of a deformable ...
We propose a simple but effective tracking algorithm for non-rigid objects with geometric appearance changes. The discriminative features of the object are ...
Abstract. We present and empirically test a novel approach for categorizing 3-D free form ob- ject shapes represented by range data .
Abstract. We present and empirically test a novel approach for categorizing 3-D free form object shapes represented by range data.
We present an efficient object retrieval system based on the identification of abstract deformable 'shape' classes using the self-similarity descriptor of ...
Missing: Finding | Show results with:Finding
Abstract—Informative and discriminative feature descriptors play a fundamental role in deformable shape analysis. For example, they.
Abstract. We present a comparative study on how to use discriminative learn- ing methods such as classification, regression, and ranking to address ...
Missing: classes. | Show results with:classes.
• Transforming one shape into another. • Measuring the similarity between shapes. • Shape localization and model alignment. • Finding a shape similar to a model ...
This paper addresses non-rigid 3D shape retrieval in terms of a subtle adjustment strategy. For this purpose, we first construct a new global shape descriptor ...
Abstract: We present an efficient object retrieval system based on the identification of abstract deformable `shape' classes using the self-similarity ...
Missing: Finding parts