Stereoscopic fish length measurements using neural networks

Authors

Carlo M. Orofeo ⋅ PH Department of Physics, University of San Carlos
Rhodesa U. Cruzet ⋅ PH Department of Physics, University of San Carlos
Michael Paul B. Kindica ⋅ PH Department of Physics, University of San Carlos
Ben Zuidberg ⋅ PH Department of Physics, University of San Carlos
Kees Karremans ⋅ NL Vrije Universiteit Amsterdam, The Netherlands

Abstract

An existing stereoscopic technique employing neural networks has been used to measure the length of fishes.
Investigations prior to the actual measurements show that external parameters such as salinity and the orientation of the object with respect to the cameras have negligible effect on the measurements. With a total error less than 2 mm, our method is far better than conventional techniques.

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Issue

2002: Proceedings of the 20th Samahang Pisika ng Pilipinas Physics Congress

Ins-FIRE-ing excellence in physics education and research
23-25 October 2002, Ateneo de Naga University

Article ID

SPP-2002-1F-04

Section

Image and Signal Processing

Published

2002-10-23

How to Cite

[1]

CM Orofeo, RU Cruzet, MPB Kindica, B Zuidberg, and K Karremans, Stereoscopic fish length measurements using neural networks, Proceedings of the Samahang Pisika ng Pilipinas 20, SPP-2002-1F-04 (2002). URL: https://proceedings.spp-online.org/article/view/SPP-2002-1F-04.