The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
COSMOS-A representation scheme for 3D free-form objects
Abstract
We address the problem of representing and recognizing 3D free-form objects when (1) the object viewpoint is arbitrary, (2) the objects may vary in shape and complexity, and (3) no restrictive assumptions are made about the types of surfaces on the object. We assume that a range image of a scene is available, containing a view of a rigid 3D object without occlusion. We propose a new and general surface representation scheme for recognizing objects with free-form (sculpted) surfaces. In this scheme, an object is described concisely in terms of maximal surface patches of constant shape index. The maximal patches that represent the object are mapped onto the unit sphere via their orientations, and aggregated via shape spectral functions. Properties such as surface area, curvedness, and connectivity, which are required to capture local and global information, are also built into the representation. The scheme yields a meaningful and rich description useful for object recognition. A novel concept, the shape spectrum of an object is also introduced within the framework of COSMOS for object view grouping and matching. We demonstrate the generality and the effectiveness of our scheme using real range images of complex objects.
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Cites
A method for registration of 3-D shapes
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Surface shape and curvature scales
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Taubin, G. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.103273 · Cited by 1,147
Three-dimensional object recognition
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Structural indexing: efficient 3-D object recognition
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Zhou, Y., & Tuzel, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00472 · Cited by 4,813
Using spin images for efficient object recognition in cluttered 3D scenes
Johnson, A. E., & Hebert, M. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.765655 · Cited by 2,599
Image Matching from Handcrafted to Deep Features: A Survey
Ma, J., Jiang, X., Fan, A., Jiang, J., & Yan, J. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01359-2 · Cited by 990
SHOT: Unique signatures of histograms for surface and texture description
Salti, S., Tombari, F., & Di Stefano, L. (2014) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2014.04.011 · Cited by 987
Random Forests for Real Time 3D Face Analysis
Fanelli, G., Dantone, M., Gall, J., Fossati, A., & Van Gool, L. (2013) · International Journal of Computer Vision · doi:10.1007/s11263-012-0549-0 · Cited by 566
Metadata
- Authors
- Dorai, C., & Jain, A. K.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1997
- Volume
- 19
- Issue
- 10
- Pages
- 1115-1130
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2162411291
- Cited by
- 438
- References
- 18
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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