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Chan Pyng Lai

dblp:99/1581 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 56% Geometric modeling and processing · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
document image analysis
0.011994
Detection of Dimension Sets in Engineering Drawings · IEEE Trans. Pattern Anal. Mach. Intell. 1994
Geometric modeling and processing › spatial reasoning › geometric reasoning › line drawing interpretation
engineering drawing analysis
0.011994
Detection of Dimension Sets in Engineering Drawings · IEEE Trans. Pattern Anal. Mach. Intell. 1994
Image and video processing › document image analysis › page segmentation
text/graphics separation
0.011994
Detection of Dimension Sets in Engineering Drawings · IEEE Trans. Pattern Anal. Mach. Intell. 1994

Methods — techniques the papers use, named apart from their topics

rule-based separation · 0.0model-based arrowhead detection · 0.0
YearPublicationVenuePosition
1995 Interpretation of telephone system manhole drawings
Juan F. Arias, Chan Pyng Lai, Surekha Surya, Rangachar Kasturi, Atul K. Chhabra
Pattern Recognit. Lett.2
1994 Detection of Dimension Sets in Engineering Drawings
abstract
This correspondence presents a system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards. A new rule-based text/graphics separation algorithm and a model-based procedure for detecting arrowheads in any orientation have been developed. Arrowhead tracking and search methods are used to extract leaders, tails, and witness lines from segmented images containing only graphics. Text blocks and feature control frames extracted from the segmented images are than associated with their corresponding leaders to obtain complete dimension sets. Experimental results are presented.>
Chan Pyng Lai, Rangachar Kasturi
IEEE Trans. Pattern Anal. Mach. Intell.1
1993 Interpretation of telephone system manhole drawings
abstract
The authors present efficient methodologies for interpreting manhole drawings of a telephone company for information extraction. They have developed a skew correction algorithm for deskewing scanned images, a new rule-based text/graphics separation algorithm for separating annotations in the drawings, and a graphics interpretation system which includes model-based arrow head detection, splice detection, and recognition of interconnections of cables and stubs. The final result from the interpretation system is a table which includes an ordered list of all cables and their interconnections which are contained in a manhole. Experimental results are used throughout to describe the algorithms.>
Juan F. Arias, Chan Pyng Lai, Surekha Chandran, Rangachar Kasturi, Atul K. Chhabra
ICDAR2
1993 Detection of dimension sets in engineering drawings
abstract
A system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards is presented. A new rule-based text/graphics separation algorithm and a model-based procedure for detecting arrowheads in any orientation have been developed. Arrowhead tracking and search methods are used to extract leaders, tails, and witness lines from segmented images containing only graphics. Text blocks and feature control frames extracted from the segmented images are then associated with their corresponding leaders to obtain complete dimension sets. Object lines are then separated from centerlines and hatching lines. Experimental results are presented.>
Chan Pyng Lai, Rangachar Kasturi
ICDAR1