Local features for partial shape matching and retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Graph-based combinations of fragment descriptors for improved 3D Object Retrieval
Proceedings of the 3rd Multimedia Systems Conference
Harris function based active contour external force for image segmentation
Pattern Recognition Letters
Key-component detection on 3D meshes using local features
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
3D point of interest detection via spectral irregularity diffusion
The Visual Computer: International Journal of Computer Graphics
Key-components: detection of salient regions on 3D meshes
The Visual Computer: International Journal of Computer Graphics
SHREC'13 track: large-scale partial shape retrieval using simulated range images
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this paper, we present an interest points detector for 3D objects based on Harris operator, which has been used with good results in computer vision applications. We propose an adaptive technique to determine the neighborhood of a vertex, over which the Harris response on that vertex is calculated. Our method is robust to several transformations, which can be seen in the high repeatability values obtained using the SHREC feature detection and description benchmark. In addition, we show that Harris 3D outperforms the results obtained by recent effective techniques such as Heat Kernel Signatures.