A theoretical 2D image model for locating 3D targets

ABSTRACT

To construct a water quality monitoring system, challenging issues need to be addressed regarding the acquisition of target information (e.g. 3D location and occlusion) as well as the behavioural analysis of aquatic organisms. This paper presents a novel 3D information acquisition and location method, by means of an information acquisition platform consisting of a monitoring terminal, frame grabbers, a single camera and a single mirror. Using this platform, we propose a theoretical 2D image model for locating 3D targets and then validate it using data obtained from both real and artificial fish. The proposed model is based on the principles of light refraction, plane mirror imaging, underwater objects and camera imaging as well as the technologies of digital to analog conversion and object segmentation. In contrast with existing methods, our method can accurately reflect 3D information of aquatic organisms, thus providing critical technical support for the development of water quality monitoring systems in the future.

KEYWORDS:

• Water quality monitoring
• plane mirror imaging
• underwater objects imaging
• three-dimensional location
• target segmentation

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCiD

Xiaohui Liu http://orcid.org/0000-0003-1589-1267

Additional information

Funding

This work is supported by the National Natural Science Foundation of China [No. 61272310, 61573316, 61373131, 61203288], European Commission FP7-ICT-2013 [No 619228], the ZheJiang province Natural Science Foundation of China [No. LY15F020032, LQ15E050006], and CICAEET.