Abstract
In This Paper, We Try to Develop a General Framework of 3d Shape Reconstruction Strategy with Extremely Rare Point Cloud Extracted for Fish Ethology Research. Particle Filter is First Taken to Focus on Fish Trajectory Tracking from Monocular Video Sequence. the Speeded Up Robust Features (Surf) Technique Will Be Adopted to Match the Same Tracking Fish Across the overlapping View Fields with More Stable and Accurate Features. Non-Rigid 3d Shape Reconstruction Will Be Finally Developed with the Help of Expectation Maximization (Em) Model and Linear Dynamical System (LDS). It is Shown from Our Simulation Experiment that the Developed Scheme of This Paper Achieves Consistent Performance Improvements Over Non-Rigid 3d Shape Reconstruction for Fish Ethology Research.
Recommended Citation
R. Che et al., "Underwater Non-Rigid 3d Shape Reconstruction Via Structure from Motion for Fish Ethology Research," OCEANS 2016 MTS/IEEE Monterey, OCE 2016, article no. 7761289, Institute of Electrical and Electronics Engineers, Nov 2016.
The definitive version is available at https://doi.org/10.1109/OCEANS.2016.7761289
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Expectation maximization; Linear dynamical system; Non-rigid 3D shape reconstruction; Structure from motion
International Standard Book Number (ISBN)
978-150901537-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
28 Nov 2016
