ACM Home Page
Please provide us with feedback. Feedback
Sketching reality: Realistic interpretation of architectural designs
Full text PdfPdf (13.76 MB)
Source
ACM Transactions on Graphics (TOG) archive
Volume 27 ,  Issue 2  (April 2008) table of contents
Article No. 11  
Year of Publication: 2008
ISSN:0730-0301
Authors
Xuejin Chen  University of Science and Technology of China and Microsoft Research Asia, Beijing, China
Sing Bing Kang  Microsoft Research, Redmond, WA
Ying-Qing Xu  Microsoft Research Asia, Beijing, China
Julie Dorsey  Yale University, New Haven, CT
Heung-Yeung Shum  Microsoft Research Asia, Beijing, China
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 23,   Downloads (12 Months): 326,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1356682.1356684
What is a DOI?

ABSTRACT

In this article, we introduce sketching reality, the process of converting a freehand sketch into a realistic-looking model. We apply this concept to architectural designs. As the sketch is being drawn, our system periodically interprets its 2.5D-geometry by identifying new junctions, edges, and faces, and then analyzing the extracted topology. The user can add detailed geometry and textures through sketches as well. This is possible through the use of databases that match partial sketches to models of detailed geometry and textures. The final product is a realistic texture-mapped 2.5D-model of the building. We show a variety of buildings that have been created using this system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Alvarado, C. and Davis, R. 2005. Dynamically constructed Bayes nets for multi-domain sketch understanding. In Proceedings of the International Joint Conference on Artificial Intelligence. San Francisco, CA. 1407--1412.
 
2
Barrow, H. G., Tenenbaum, J., Bolles, R., and Wolf, H. 1977. Parametric correspondence and chamfer matching: Two new techniques for image matching. In Proceedings of the International Joint Conference on Artificial Intelligence. 659--663.
3
 
4
Gennari, L., Kara, L. B., Stahovich, T. F., and Shimada, K. 2005. Combining geometry and domain knowledge to interpret hand-drawn diagrams. Comput. Graph., 547--562.
5
6
 
7
Hong, W., Ma, Y., and Yu, Y. 2004. Reconstruction of 3D symmetric curves from perspective images without discrete features. In European Conference on Computer Vision. Vol. 3. 533--545.
 
8
 
9
Hou, S. and Ramani, K. 2006. Sketch-based 3D engineering part class browsing and retrieval. In EuroGraphics Workshop on Sketch-Based Interfaces and Modeling. 131--138.
 
10
11
 
12
 
13
Jatupoj, P. 2005. Sketchboard: The simple 3D modeling from architectural sketch recognition. In Proceedings of Computer Aided Architectural Design in Asia.
14
 
15
Lee, H.-J. and Chung, J.-H. 1999. Hand gesture recognition using orientation histogram. In Proceedings of IEEE Region 10 Conference Vol. 2. 1355--1358.
 
16
Lipson, H. and Shpitalni, M. 1996. Optimization-based reconstruction of a 3D object from a single freehand line drawing. J. Comput. Aid. Des. 28, 8, 651--663.
 
17
Masry, M., Kang, D., and Lipson, H. 2005. A freehand sketching interface for progressive construction of 3D objects. J. Comput. Graph., (Special Issue on Pen-Based User Interfaces) 29, 4, 563--575.
 
18
19
20
 
21
 
22
Pu, J. and Ramani, K. 2006. On visual similarity based 2D drawing retrieval. Comput.-Aid. Des. 38, 3, 249--259.
 
23
Rother, C. 2000. A new approach for vanishing point detection in architecture environment. In Proceedings of British Machine Vision Conference 382--391.
24
 
25
Shesh, A. and Chen, B. 2004. SMARTPAPER--An interactive and easy-to-use sketching system. In Proceedings of Eurographics.
 
26
Shilman, M., Pasula, H., Russell, S., and Newton, R. 2000. Statistical visual language models for ink parsing. In AAAI Spring Symposium on Sketching Understanding. 126--132.
 
27
 
28
29
30


Collaborative Colleagues:
Xuejin Chen: colleagues
Sing Bing Kang: colleagues
Ying-Qing Xu: colleagues
Julie Dorsey: colleagues
Heung-Yeung Shum: colleagues