Stereo matching using dynamic programming based on differential smoothing

Zhou, Zhiyu; Wu, Dichong; Zhu, Zefei

doi:10.1016/j.ijleo.2015.11.062

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…The global stereo matching algorithm usually includes three steps of matching cost computation, disparity calculation, and disparity optimization, and no cost aggregation is performed. Zhou et al 14 proposed a dynamic programming stereo matching algorithm based on differential equations, using all matching cost functions, smooth energy functions, and occlusion cost functions. The diffusion speed of the smooth energy function includes gradient information, line points, and corner points.…”

Section: Introductionmentioning

confidence: 99%

Detection of bulk feed volume based on binocular stereo vision

Liu

Dai

Zeng

et al. 2022

Sci Rep

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The volume detection of medical mice feed is crucial to understand the food intake requirements of mice at different growth stages and to grasp their growth, development, and health status. Aiming at the problem of volume calculation in the way of feed bulk in mice, a method for detecting the bulk volume of feed in mice based on binocular stereo vision was proposed. Firstly, the three-dimensional point coordinates of the feed's surface were calculated using the binocular stereo vision three-dimensional reconstruction technology. The coordinates of these dense points formed a point cloud, and then the projection method was used to calculate the volume of the point cloud; and finally, the volume of the mice feed was obtained. We use the stereo matching data set provided by the Middlebury evaluation platform to conduct experimental verification. The results show that our method effectively improves the matching degree of stereo matching and makes the three-dimensional point coordinates of the obtained feed's surface more accurate. The point cloud is then denoised and Delaunay triangulated, and the volume of the tetrahedron obtained after the triangulation is calculated and summed to obtain the total volume. We used different sizes of wood instead of feed for multiple volume calculations, and the average error between the calculated volume and the real volume was 7.12%. The experimental results show that the volume of the remaining feed of mice can be calculated by binocular stereo vision.

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Section: Introductionmentioning

confidence: 99%

Detection of bulk feed volume based on binocular stereo vision

Liu

Dai

Zeng

et al. 2022

Sci Rep

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“…[21][22][23][24][25] Stereo matching has two main modes: matching based on characteristics [26,27] and matching based on regions. [28,29] Both modes can be used for stereo matching of images or markers, but they differ in terms of accuracy, effectiveness and speed. Furthermore, only multiple points exist in the images of surgical instruments, which are captured in an NOS, and these points have few edge differences and are in grayscale.…”

Section: Introductionmentioning

confidence: 99%

Tracking multiple surgical instruments in a near-infrared optical system

Cai

Yang

Lin

et al. 2016

Computer Assisted Surgery

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Surgical navigation systems can assist doctors in performing more precise and more efficient surgical procedures to avoid various accidents. The near-infrared optical system (NOS) is an important component of surgical navigation systems. However, several surgical instruments are used during surgery, and effectively tracking all of them is challenging. A stereo matching algorithm using two intersecting lines and surgical instrument codes is proposed in this paper. In our NOS, the markers on the surgical instruments can be captured by two near-infrared cameras. After automatically searching and extracting their subpixel coordinates in the left and right images, the coordinates of the real and pseudo markers are determined by the two intersecting lines. Finally, the pseudo markers are removed to achieve accurate stereo matching by summing the codes for the distances between a specific marker with the other two markers on the surgical instrument. Experimental results show that the markers on the different surgical instruments can be automatically and accurately recognized. The NOS can accurately track multiple surgical instruments.

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An Efficient Global Matching Technique for Stereo Matching

Deepa,

Jyothi

2024

Lecture Notes in Networks and Systems

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Stereo matching using dynamic programming based on differential smoothing

Cited by 7 publications

References 10 publications

Detection of bulk feed volume based on binocular stereo vision

Detection of bulk feed volume based on binocular stereo vision

Tracking multiple surgical instruments in a near-infrared optical system

An Efficient Global Matching Technique for Stereo Matching

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