Name
Abstract | ||
|---|---|---|
The paper proposes a new algorithm for reconstruction of torn document ripped-up by hand using a unique feature, Edge Envelope. The essence of the paper is to match the edges using high curvature points and edge variations as human visual system does while reconstructing the document. Moreover the ambiguity created during the matching of edges due to shearing can be overcome by smoothing the edge envelopes using a filter. Further, a newly defined parameter Normalized Edge Envelope Difference can be used as an effective quantitative measure for matching the edges of torn pieces, which exploits property of human visual system. The effectiveness of the algorithm is demonstrated through preliminary results by taking limited amount of torn pieces. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1924559.1924611 | ICVGIP |
Keywords | Field | DocType |
torn piece,edge envelope,torn document ripped-up,edge variation,high curvature point,new algorithm,effective quantitative measure,human visual system,limited amount,edge envelope difference | Computer vision,Curvature,Normalization (statistics),Pattern recognition,Shearing (physics),Computer science,Human visual system model,Smoothing,Artificial intelligence,Ambiguity | Conference |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. A. SantoshKumar | 1 | 2 | 0.77 |
| B. K. ShreyamshaKumar | 2 | 99 | 7.66 |