The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Modeling by example
Abstract
In this paper, we investigate a data-driven synthesis approach to constructing 3D geometric surface models. We provide methods with which a user can search a large database of 3D meshes to find parts of interest, cut the desired parts out of the meshes with intelligent scissoring, and composite them together in different ways to form new objects. The main benefit of this approach is that it is both easy to learn and able to produce highly detailed geometric models -- the conceptual design for new models comes from the user, while the geometric details come from examples in the database. The focus of the paper is on the main research issues motivated by the proposed approach: (1) interactive segmentation of 3D surfaces, (2) shape-based search to find 3D models with parts matching a query, and (3) composition of parts to form new models. We provide new research contributions on all three topics and incorporate them into a prototype modeling system. Experience with our prototype system indicates that it allows untrained users to create interesting and detailed 3D models.
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Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
A method for registration of 3-D shapes
Besl, P. J., & McKay, N. D. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121791 · Cited by 18,103
The Earth Mover's Distance as a Metric for Image Retrieval
Rubner, Y., Tomasi, C., & Guibas, L. J. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026543900054 · Cited by 4,568
Closed-form solution of absolute orientation using unit quaternions
Horn, B. K. P. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.000629 · Cited by 4,116
Shilane, P., Min, P., Kazhdan, M., & Funkhouser, T. (2004) · Proceedings Shape Modeling Applications, 2004. · doi:10.1109/smi.2004.1314504 · Cited by 1,419
Self-citationOn Visual Similarity Based 3D Model Retrieval
Chen, D., Tian, X., Shen, Y., & Ouhyoung, M. (2003) · Computer Graphics Forum · doi:10.1111/1467-8659.00669 · Cited by 1,398
Closed-form solution of absolute orientation using orthonormal matrices
Horn, B. K. P., Hilden, H. M., & Negahdaripour, S. (1988) · Journal of the Optical Society of America A · doi:10.1364/josaa.5.001127 · Cited by 1,151
Teddy: a sketching interface for 3D freeform design
Igarashi, T., Matsuoka, S., & Tanaka, H. (2006) · ACM SIGGRAPH 2006 Courses on - SIGGRAPH '06 · doi:10.1145/1185657.1185772 · Cited by 1,067
2017 IEEE International Conference on Image Processing (ICIP)
(2017) · doi:10.1109/icip38660.2017 · Cited by 1,013
Three-dimensional object recognition
Besl, P. J., & Jain, R. C. (1985) · ACM Computing Surveys · doi:10.1145/4078.4081 · Cited by 971
Cited by
3D ShapeNets: A deep representation for volumetric shapes
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., & Xiao, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298801 · Cited by 4,550
A benchmark for 3D mesh segmentation
Chen, X., Golovinskiy, A., & Funkhouser, T. (2009) · ACM Transactions on Graphics · doi:10.1145/1531326.1531379 · Cited by 654
Self-citationA survey on Mesh Segmentation Techniques
Shamir, A. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01103.x · Cited by 593
Fast exact and approximate geodesics on meshes
Surazhsky, V., Surazhsky, T., Kirsanov, D., Gortler, S. J., & Hoppe, H. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073228 · Cited by 502
Mesh segmentation using feature point and core extraction
Katz, S., Leifman, G., & Tal, A. (2005) · The Visual Computer · doi:10.1007/s00371-005-0344-9 · Cited by 375
Self-citation
Metadata
- Authors
- Funkhouser, T., Kazhdan, M., Shilane, P., Min, P., Kiefer, W., Tal, A., Rusinkiewicz, S., & Dobkin, D.
- Venue
- ACM Transactions on Graphics
- Published
- 2004-08
- Volume
- 23
- Issue
- 3
- Pages
- 652-663
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2077678691
- Cited by
- 506
- References
- 27
- FWCI
- 37.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Funkhouser, T., Kazhdan, M., Shilane, P., Min, P., Kiefer, W., Tal, A., Rusinkiewicz, S., & Dobkin, D. (2004). Modeling by example. ACM Transactions on Graphics. https://doi.org/10.1145/1015706.1015775
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
