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Chungan Lin

dblp:41/3556 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 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.

Artificial intelligence
1 paper
Image recognition and object detection · 44% 3D vision · 44% Segmentation and scene understanding · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection › object detection › remote sensing object detection
building detection		 0.011994
Detection of buildings using perceptual grouping and shadows · CVPR 1994
Computer vision › Segmentation and scene understanding
perceptual grouping		 0.011994
Detection of buildings using perceptual grouping and shadows · CVPR 1994

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

shadow analysis · 0.0perceptual grouping · 0.0
YearPublicationVenuePosition
1998 Building Detection and Description from a Single Intensity Image
Chungan Lin, Ramakant Nevatia
 Comput. Vis. Image Underst.1
1994 Detection of buildings using perceptual grouping and shadows
abstract
We describe a system for detection and description of buildings in aerial scenes. This is a difficult task as the aerial images contain a variety of objects. Low-level segmentation processes give highly fragmented segments due to a number of reasons. We use a perceptual grouping approach to collect these fragments and discard those that come from other sources. We use shape properties of the buildings for this. We use shadows to help form and verify the hypotheses generated by the grouping process. This latter step also provides 3-D descriptions of the buildings. Our system has been tested on a number of examples and is able to work with overhead or oblique views.>
Chungan Lin, Andres Huertas, Ramakant Nevatia
 CVPR1