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PeiFeng Zeng

dblp:53/3583 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 1

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 · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › mathematical morphology
distance transform		 0.112006
A Systolic Algorithm for Euclidean Distance Transform · IEEE Trans. Pattern Anal. Mach. Intell. 2006

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

VLSI implementation · 0.1
YearPublicationVenuePosition
2006 A Systolic Algorithm for Euclidean Distance Transform
abstract
The Euclidean distance transform is one of the fundamental operations in image processing. It has been widely used in computer vision, pattern recognition, morphological filtering, and robotics. This paper proposes a systolic algorithm that computes the Euclidean distance map of an N x N binary image in 3N clocks on 2N(2) processing cells. The algorithm is designed so that the hardware resources are reduced; especially no mulitipliers are used and, thus, it facilitates VLSI implementation.
Masafumi Miyazawa, PeiFeng Zeng, Naoyuki Iso, Tomio Hirata
 IEEE Trans. Pattern Anal. Mach. Intell.2