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With the rapid development of modern manufacturing, more precision and higher efficiency are required for the detection technology. The vision-based detection system is playing a more important role in modern manufacturing because of its real-time and non-contact detection advantages. In this paper, we propose a vision-based online detection system for measuring diameter and thickness of the support...
This paper proposes a hybrid tracking approach which combines the optical and magnetic localization technologies. It first describes the collinear epipolar plane model, then rewrite and enhance the epipolar constraint under this model. Based on it, this paper further discusses the point corresponding and target recognition in multi-ocular infrared tracking systems. Aiming at the calculation complexity...
For the demands of surgical navigation, this paper proposes some simple 3-D point reconstruction methods. These methods regard the perpendicular feet on back-projection lines as the measurements of a 3-D point, since these feet are close to the 3-D point. And then the methods utilize the distance between 3-D point and camera and error propagation rules to adjust the weights of the feet. Finally, the...
Correspondence searching among different images is a fundamental problem in computer vision. It is important to find correspondences correctly and rapidly, especially for real-time tracking systems. Therefore, the definition of search areas in images is crucial. Traditional epipolar constraint is not noise-enduring; some reformative methods lack explicit geometric meanings. All of them cannot help...
Using multi-vision system to implement the Point Positioning is more robust and accurate than using bi-vision system. However, multi-vision system is not feasible for real time Point Positioning; because multi-vision system mainly use optimization method. This paper proposes a fast Point Position method to address this problem. This method regard the average of all feet, which are determined by Back-Projection...
The Wireless Capsule Endoscopy (WCE) has been gradually used in hospitals due to its breakthrough that it can view the whole gastrointestinal with less suffering. Nevertheless, it generates too many images each time causing a huge burden to physicians; therefore it's meaningful to help physicians to employ computerized methods to diagnose. One important way is to build up three-dimensional (3D) model...
Camera calibration is a necessary step in 3D computer vision in order to extract metric information from 2D images. In the camera calibration applying to multi-camera localization, it's prerequisite that all cameras, which mounted apart from each other, must observe the whole calibration object simultaneously. However, it's inconvenient to satisfy using traditional 3D or 2D calibration objects. In...
In order to achieve the goal of high accuracy and low cost in a visual localization system, we present a novel localization method based on four inexpensive video cameras. The method mainly consists of two parts: The “16-points interpolation algorithm” is proposed to enhance the accuracy of 2D coordinates of the detected target on the image plane. Another important aspect is that the Perpendicular...
The accuracy of corner detection is critical for many machine vision applications. A novel corner detector based on video is proposed in this paper. The corner detector can effectively constrain camera noise by using multiple frames from video. The kernel of this method is the similarity algorithm which including a special representation of binary image, a robust template, a simple similarity function...
In the RoboCup competition, vision system is regarded as of great importance with its high information contents, convenient implementation, and suitability for human sights of common and inexpensive hardware. In this paper, we discuss the vision system of ROBOCUP Small Size League, and introduce a digital way for segmentation of this color based robotic motion, camera calibration is also included...
This paper presents a FPGA-based auto focusing system for object ranging. It overcomes the disadvantage of manual focusing wise in traditional method of objects ranging. In our system, the distance of objects can be measured automatically by the auto focusing algorithm. We have experimentally demonstrated the effectiveness of this method. The best performance of our system is about 3% relative errors...
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