scholarly journals Effect of Visual Cues on Line Drawing Performance

Author(s):  
Tetsuyou Watanabe
Keyword(s):  
Author(s):  
PATRICK SHEN-PEI WANG ◽  
AMAR GUPTA

This paper examines several line-drawing pattern recognition methods for handwritten character recognition. They are the picture descriptive language (PDL), Berthod and Maroy (BM), extended Freeman's chain code (EFC), error transformation (ET), tree grammar (TG), and array grammar (AG) methods. A new character recognition scheme that uses improved extended octal codes as primitives is introduced. This scheme offers the advantages of handling flexible sizes, orientations, and variations, the need for fewer learning samples, and lower degree of ambiguity. Finally, the simulation of off-line character recognition by the real-time on-line counterpart is investigated.


Author(s):  
Rafael Cardoner ◽  
Federico Thomas

Image compression techniques have been recently used not only for reducing storage requirements, but also computational costs when processing images on low cost computers. This approach might be also of interest for processing large engineering drawings, where feature extraction techniques must be intensively applied for their segmentation into regions of interest for subsequent analysis. This paper explores this alternative using a simple run-length compression, leading to excellent results. Although this approach is not new and can be classified within the decomposition paradigm used since the early stages of line drawing image processing, the developed formalism allows directional morphological set transformations to be performed, on a low cost personal computer, faster than on costly parallel computers for the same, but uncompressed, images. This good performance is proved in two different applications: the generation of homotopic skeletons through thinning processes, and the extraction of linear features through serializing multiangle parallelism operations.


1996 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Ming Ouhyoung ◽  
Yung-huei Yan

Recently three-dimensional (3D) graphics has been applied in areas such as building and mechanical design, with the help of CAD tools to first construct the two-dimensional (2D) and 3D models. Building synthetic environments usually involves lots of work in constructing virtual reality worlds, and making authoring more efficient is one of the most important goals in virtual reality. We propose a prototype system that integrates several modules such as image preprocessing, vectorization, editing, and 3D model generation, to transform a 2D architecture design diagram into a 3D building model. We also propose an improved method that can efficiently recognize slant lines in addition to vertical and horizontal lines. To do this, since a line has a constant slope, we use back-tracking in our method and utilize a line slope consistency check to prune wrong targets.


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