Research on Region Matching for Underwater Images Based on Optimum Searching Area

Qiang, 张强 Zhang; Tingting, 刘婷婷 Liu; Haibin, 李海滨 Li; Wenming, 张文明 Zhang; Yaqian, 李雅倩 Li

doi:10.3788/aos201434.0615001

Cited by 1 publication

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“…A coordinate system in figure 1 is established to illustrate the problem in underwater binocular stereo matching. The camera is assumed as an ideal pinhole camera model [27], and two optical axes of the cameras are placed in parallel. Object points are imaged by the camera after the light passes through water, glass and air.…”

Section: The Problem Of Underwater Stereo Matchingmentioning

confidence: 99%

“…A point P (x 0 , y 0 , z 0 ) is on the left image plane, and the point Q ′ (x 1 , y 1 , z 1 ) is its corresponding object point in the water according to the imaging relationship [27]:…”

Section: The Problem Of Underwater Stereo Matchingmentioning

confidence: 99%

“…The image point is expressed as P ′ . According to the law of refraction, point Q satisfies the following constraint [27]:…”

Section: The Problem Of Underwater Stereo Matchingmentioning

confidence: 99%

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A standard expression of underwater binocular vision for stereo matching

Zhuang

Zhang

et al. 2020

Meas. Sci. Technol.

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A camera in an underwater stereo vision system conforms to a multi-layer refraction model, and the perspective projection camera model is invalid. Because the imaging light is refracted, the corresponding pixel does not conform to the traditional polar constraint, and the stereo matching methods must conduct a two-dimensional search. In this paper, a standard expression is proposed to reduce the search space to one dimension. Based on a light field, any specific underwater binocular stereo vision is converted to a standard setup in which the axes of two cameras are parallel and the image is expressed as the light field, the direction information image and the position image. We found and proved that the direction information image conforms to the rule of corresponding rows. With this standard expression, the stereo matching is efficiently conducted and the 3D information can be computed from the disparity map and the position image. In the experiment, an underwater binocular stereo vision system is developed and the proposed method is compared with the traditional method. The results confirm that the proposed method has several advantages of conciseness, correctness, efficiency, and generality.

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Section: The Problem Of Underwater Stereo Matchingmentioning

confidence: 99%

“…A point P (x 0 , y 0 , z 0 ) is on the left image plane, and the point Q ′ (x 1 , y 1 , z 1 ) is its corresponding object point in the water according to the imaging relationship [27]:…”

Section: The Problem Of Underwater Stereo Matchingmentioning

confidence: 99%