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Hang-Fei Cheng

dblp:34/21 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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.

Theoretical computer science
1 paper
Computational geometry · 100%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
algebraic geometry
0.012003
Complete Solution Classification for the Perspective-Three-Point Problem · IEEE Trans. Pattern Anal. Mach. Intell. 2003
Computational geometry › geometric vision › multi-view geometry
pose estimation
0.012003
Complete Solution Classification for the Perspective-Three-Point Problem · IEEE Trans. Pattern Anal. Mach. Intell. 2003
Computational geometry
triangular decomposition
0.012003
Complete Solution Classification for the Perspective-Three-Point Problem · IEEE Trans. Pattern Anal. Mach. Intell. 2003
Computer vision › 3D vision
camera pose estimation
0.012003
Complete Solution Classification for the Perspective-Three-Point Problem · IEEE Trans. Pattern Anal. Mach. Intell. 2003

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

wu-ritt zero decomposition · 0.1geometric approach · 0.1algebraic approach · 0.1
YearPublicationVenuePosition
2003 Complete Solution Classification for the Perspective-Three-Point Problem
abstract
We use two approaches to solve the perspective-three-point (P3P) problem: the algebraic approach and the geometric approach. In the algebraic approach, we use Wu-Ritt's zero decomposition algorithm to give a complete triangular decomposition for the P3P equation system. This decomposition provides the first complete analytical solution to the P3P problem. We also give a complete solution classification for the P3P equation system, i.e., we give explicit criteria for the P3P problem to have one, two, three, and four solutions. Combining the analytical solutions with the criteria, we provide an algorithm, CASSC, which may be used to find complete and robust numerical solutions to the P3P problem. In the geometric approach, we give some pure geometric criteria for the number of real physical solutions.
Xiao-Shan Gao, Xiaorong Hou, Jianliang Tang, Hang-Fei Cheng
IEEE Trans. Pattern Anal. Mach. Intell.4