Session 5: Raster to Vector and drawings
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1 Session 5: Raster to Vector and drawings Chairs: Jorge Calvo-Zaragoza & Wataru Ohyama
2 Session chairs Jorge Calvo-Zaragoza PhD candidate from 2012 to 2016 University of Alicante, Alicante (Spain) Postdoctoral Fellow McGill University, Montreal (Canada) Main research topic: Optical Music Recognition
3 Session chairs Wataru Ohyama, Ph.D Assistant Professor, Mie University (Japan) Research Topic: Handwriting Analysis and Recognition Signature Verification Music Score Recognition Historical Documents Analysis Camera-based OCR Multilingual OCR
4 Introduction to the topics Catch-all session Computational geometry Polylines processing: fitting, compression, and searching Architecture, Engineering & Construction (AEC) documents Circular callout detection Information retrieval from cosmic ray recordings Case of study from a specific event Focusing on practical applications.
5 Session outline (each paper: 10 min presentation) Alexander Gribov: Approximate Fitting a Circular Arc When Two Points Are Known Sandip Maity, Bidyut Chaudhuri, Bhagesh Seraogi, Purnendu Banerjee, Supriya Das, Himadri Majumdar, Srinivas Mukkamala, Rahul Roy: A Novel Approach for Detecting Circular Callouts in AEC Drawing Documents Alexander Gribov: An Efficient Combinatorial Algorithm for Optimal Compression of a Polyline with Segments and Arcs Vincent Mattana, Gunther Drevin, Du Toit Strauss: Extracting the ground level enhancement event of February 1956 from legacy cosmic ray recordings Alexander Gribov: Searching for a Compressed Polyline with a Minimum Number of Vertices IAPR TC-10 Technical Committee on Graphics Recognition NeuralNetwork-free Session!
6 Paper 1 Approximate Fitting a Circular Arc When Two Points Are Known Alexander Gribov
7 Paper 2 A Novel Approach for Detecting Circular Callouts in AEC Drawing Documents Sandip Maity, Bidyut Chaudhuri, Bhagesh Seraogi, Purnendu Banerjee, Supriya Das, Himadri Majumdar, Srinivas Mukkamala, Rahul Roy
8 Paper 3 An Efficient Combinatorial Algorithm for Optimal Compression of a Polyline with Segments and Arcs Alexander Gribov An improved algorithm for polyline compression is proposed. The proposed algorithm employs modification of DP-based algorithm by replacing the iteration process to find farthest vertex. Efficiency improvement for two typical cases are shown.
9 Paper 4 Extracting the ground level enhancement event of February 1956 from legacy cosmic ray recordings Vincent Mattana, Gunther Drevin, Du Toit Strauss A practical application for images of legacy cosmic ray recordings is repoted. GLE #5 has been extracted from historical GLE records with an acceptable level of accuracy. Detail of extracting algorithm is expected.
10 Paper 5 Searching for a Compressed Polyline with a Minimum Number of Vertices Alexander Gribov A practical algorithm for polyline compression is proposed. The algorithm is used for the reconstruction of orthogonal buildings and a viable solution to finding a polyline within a specified tolerance with the minimum number of vertices is described. The performance evaluation has been done using LIDAR data.
11 Discussion Open questions: Performance improvement is important, however, how much performances (accuracy, processing time, required memory size) are required for each application? What is the next challenge in this research topic? Is it possible or What s happen using deep-learning based method for each application?
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