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Paper for Generating Sketch Description

Bhupesh Kumar Singh, Meghna Luthra

Abstract


Graphs are a key method for catching and correspondence data in a wide range of areas. They are additionally a profitable piece of the early plan procedure, helping us investigate thoughts and arrangements in a casual situation. There is expanding enthusiasm for building frameworks that can consequently decipher freehand drawings. Sketch distinguishment frameworks are at present being produced for some areas, however can be prolonged to fabricate in the event that they are to handle the intricacies of every area. This paper introduces an effective parser that comes to fruition depictions (MAHI space portrayal for portraying dialect) and consequently deciphers them into shape recognizers, altering recognizers, and shape exhibitors for utilization in conjunction with an area autonomous representation distinguishment framework. This change permits us to construct a solitary space free distinguishment framework that can be adjusted for numerous spaces. Our structure was tried and executed by composing different space depictions and made an area particular portrayal distinguishment framework for every space.

Keywords: Heuristic, MAHI, MAHII, smart-board, geometric

 

Cite this Article:
Bhupesh Kumar Singh, Meghna Luthra. Parser for Generating Sketch Description. Journal of Software Engineering Tools & Technology Trends. 2015; 2(1): 9–18p.


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References


Alvarado C. A natural sketching environment: Bringing the computer into early stages of mechanical design. Master’s Thesis, MIT. 2000.

Hammond T, Davis R. Tahuti: A geometrical sketch recognition system for uml class diagrams. AAAI Spring Symposium on Sketch Understanding. 2002; 59–68p.

Lin J, Newman MW, Hong JI et al. Denim: Finding a tighter fit between tools and practice for web site design. In CHI Letters: Human Factors in Computing Systems, CHI2000. 2000; 510–517p.

Gross M, Zimring C, Do E.Using diagrams to access a case library of architectural designs. In Gero, J., and Sudweeks,F., eds., Artificial Intelligence in Design ’94. Netherlands: Kluwer Academic Publishers. 1994; 129–144p.

Caetano A, Goulart N, Fonseca M, et al. Sketching user interfaces with visual patterns. Proceedings of the 1st Ibero-American Symposium in Computer Graphics (SIACG02). 2002; 271–279p.

Do EY. Vr sketchpad - create instant 3d worlds by sketching on a transparent window. CAAD Futures 2001,Bauke de Vries, Jos P. van Leeuwen, Henri H. Achten (eds). 2001; 161–172p.

Mahoney JV, Fromherz MPJ. Handling ambiguity in constraint-based recognition of stick Fig sketches. SPIE Document Recognition and Retrieval IX Conf., San Jose, CA. 2002.

Pittman J, Smith I, Cohen P, et al. Quickset: A multimodal interface for military simulations. Proceedings of the 6th Conference on Computer-Generated Forces and Behavioral Representation. 1996; 217–224p.

Hse H, Shilman M, Newton AR, et al. Sketch-based user interfaces for collaborative object-oriented modeling. Berkley CS260 Class Project. 1999.

Zue, Glass. Conversational interfaces: Advances and challenges. Proc IEEE. 2000; 88(8): 1166–1180p.

Tracy Hammond, Randall Davis. LADDER, a sketching language for user interface developers. In Computer & Graphics-UK. 2005; 518–532p.

Costagliola G, Tortora G, Orefice S, et al. Automatic generation of visual programming environments. In IEEE Computer. 1995; 28(3): 56–65p.

Tracy Hammond, Randall Davis. Automatically Transforming symbolic shape for use in sketch recognition. Proceeding of the19th National Conference on Artificial Intelligence (AAAI-04). 2004; 450–456p.

Rubine D. Specifying gestures by example. In Computer Graphics. 1991; 25(4): 329–337p.

Martin Field. The effect of task on classification accuracy gesture recognition. In Computer and Graphics. 2009; 32(4).

Leslie Gennari. Combining geometry and domain knowledge to interpret hand drawn diagrams. University of California, Riverside, CA 92521, USA. In Computer and graphics, 2005; 28(4).

Achraf Ghorbel. IMISketch: An interactive method for sketch recognition. In Pattern Recognition Letters. 2014; 35(1): 78–90p.

Singh BK, Sahoo G. A new approach to sketch recognition using heuristic. International Journal of Computer Science and Network Security. 2008; 8(2):102–108p.

Chien CF. Modifying the inconsistency of Bayesian networks and a comparison study for fault location on electricity distribution feeders. International Journal Operational Research. 2005; 1: 188–202p.

Singh BK, Sahoo G. MAHII: Machine and Human Interactive Interface. International Journal of Image Processing. 2008; 2(3): 1–11p.

Singh BK, Sahoo G, Raina BL. MAHI: Machine and Human Interface. International Journal of Image Processing (IJIP). 2009; 3(2): 80–91p.

Friedman-Hill E. Jess, the java expert system shell. Available at: http://herzberg.ca.sandia.gov/jess

Sezgin TM. Feature point detection and curve approximation for early processing in sketch recognition. Master’s Thesis, Massachusetts Institute of Technology. 2001.


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