Intelligent Underwater Stereo Camera Design for Fish Metric Estimation Using Reliable Object Matching

Intelligent Underwater Stereo Camera Design for Fish Metric Estimation Using Reliable Object Matching

Precise fish metric estimation is essential in providing intelligent aquaculture farm decisions. Stereo vision has been widely used for size estimation. Still, many factors affect fish metrics accuracy using a low-cost underwater stereo camera, such as distance, ambient lighting, water velocity, and...

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Bibliographic Details
Main Authors: Naomi A. Ubina, Shyi-Chyi Cheng, Chin-Chun Chang, Sin-Yi Cai, Hsun-Yu Lan, Hoang-Yang Lu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
object tracking
object-based stereo matching
Online Access:https://ieeexplore.ieee.org/document/9804493/

Internet

https://ieeexplore.ieee.org/document/9804493/

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