Non-Photorealistic Computer Graphics Library

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Found 92 item(s) authored in "2002".
Pages [10]: [1] [2] [3] [4] [5] [6] Next Page

Proceedings A Fresh Perspective
Karan Singh.
Graphics Interface (GI'02), pp. 17--24, May, 2002. [BibTeX]

Proceedings A Model Based Technique for Realistic Oriental Painting
Do Hoon Lee, Young Bock Lee, Hwan Gue Cho, Young Jung Yu.
10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 452, Tsinghua University, Beijing, October 09 - 11, 2002. [BibTeX]

Proceedings A Multi-Level Sketching Tool for "Pencil-and-Paper" Animation
Fabian Di Fiore, Frank Van Reeth.
Sketch Understanding: Papers from the 2002 American Association for Artificial Intelligence (AAAI Spring Symposium), pp. 32--36, Palo Alto (USA), March 25-27, 2002. [BibTeX]

Article A Solid Model Based Virtual Hairy Brush
Songhua Xu, Min Tang, Francis Lau, Yunhe Pan.
Computer Graphics Forum, Vol. 21, No. 3, September, 2002. [BibTeX]

Proceedings Abstracted Painterly Renderings Using Eye-Tracking Data
Anthony Santella, Doug DeCarlo.
Proceedings of Second International Symposium on Non Photorealistic Animation and Rendering (NPAR 2002, Annecy, France, June 3--5, 2002), pp. 75--82, New York, NY, USA, June 3-5, ACM Press, 2002. [BibTeX]

Proceedings An Efficient Brush Model for Physically-Based 3D Painting
Nelson Siu-Hang Chu, Chiew-Lan Tai.
10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 413--421, Tsinghua University, Beijing, October 09 - 11, 2002. [BibTeX]

Technical Report An Experimental Comparision of Perceived Egocentric Distance in Real, Image-Based, and Traditional Virtual Environments using Direct Walking Tasks
Peter Willemsen, Amy A. Gooch.
School of Computing, University of Utah, No. UUCS-02-009, February, 2002. [BibTeX]

Proceedings An Invitation to Discuss Computer Depiction
Fr├ędo Durand.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), Annecy, France, June 3-5, 2002. [BibTeX]

Article An Object-Oriented Progressive-Simplification-Based Vectorization System for Engineering Drawings: Model, Algorithm, and Performance

Author(s): Jiqiang Song, Feng Su, Chiew-Lan Tai, Shijie Cai.
Article: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 8, pp. 1048--1060, August, 2002.
[BibTeX] Find this paper on Google

Existing vectorization systems for engineering drawings usually take a two-phase workflow: convert a raster image to raw vectors and recognize graphic objects from the raw vectors. The first phase usually separates a ground truth graphic object that intersects or touches other graphic objects into several parts, thus, the second phase faces the difficulty of searching for and merging raw vectors belonging to the same object. These operations slow down vectorization and degrade the recognition quality. Imitating the way humans read engineering drawings, we propose an efficient one-phase object-oriented vectorization model that recognizes each class of graphic objects from their natural characteristics. Each ground truth graphic object is recognized directly in its entirety at the pixel level. The raster image is progressively simplified by erasing recognized graphic objects to eliminate their interference with subsequent recognition. To evaluate the performance of the proposed model, we present experimental results on real-life drawings and quantitative analysis using third party protocols. The evaluation results show significant improvement in speed and recognition rate.

Proceedings Animation with Threshold Textures
Oleg Veryovka.
Graphics Interface (GI'02), 2002. [BibTeX]

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