Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
A vectorial rotation-invariant 3-D shape descriptor
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Shape rank: efficient web3D search technique using 3D features
Proceedings of the international conference on Multimedia information retrieval
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In recent years the need for the retrieval of real 3D objects is growing more and more. However, if the 3D models are obtained without the use of special equipment such as engineered environments or multi-camera systems, they are often incomplete, making retrieval difficult. On the other hand, real models often include rich texture information, which can compensate for the limited shape information. In this paper we present new 3D shape features which take into account an object's texture. We demonstrate the retrieval performance of these features on a dataset of real textured objects and a real color 3D scene.