A positioning model of a two CCD camera coordinate system with an alternate-four-matrix look-up table algorithm

Lin, Chern‐Sheng; Chen, Chia-Tse; Wei, Tzu-Chi; Chen, Wei-Lung; Chang, Chia-Chang

doi:10.1016/j.optlaseng.2010.07.004

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…The depth sensor can incorporate image processing technology to achieve user and system positioning. The gesture control function and command system enable users to operate the system without wearing complicated and heavy devices [2,3]. When multiple sensors and cameras were used for positioning, these cameras were set in a sequential group to reduce the complexity of the adjustments and locate the target object at any time [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

et al. 2020

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This study focused on utilizing the Kinect depth sensor to track double-hand gestures and control a real-time robotic arm. The control system is mainly composed of the microprocessor, a color camera, the depth sensor, and the robotic arm. The Kinect depth sensor was used to take photos of the human body to analyze the skeleton of a human body and obtain the relevant information. Such information was used to identify the gestures of the left hand and the left palm of the user. The gesture of left hand was used as an input command device. The gesture of the right hand was used for imitation movement teaching of robotic arm. From the depth sensor, the real-time images of the human body and the deep information of each joint were collected and converted to the relative positions of the robotic arm. Combining forward kinematics and inverse kinematics and D-H link, the gesture information of the right hand was calculated, which was converted via coordinates into each angle of the motor of the robotic arm. From the color camera, when the left palm was not detected, the user could simply use the right hand to control the action and movement of the real-time robotic arm. When the left palm was detected and 5 fingertips were identified, it meant the start of recording the real-time imitation movement of the robotic arm by the right hand. When 0 fingertip was identified, it meant the stoppage of the above recording. When 2 fingertips were identified, the user could not only control the real-time robotic arm but also repeat the recorded actions.

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Section: Introductionmentioning

confidence: 99%

The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

et al. 2020

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“…Therefore, the threshold look-up table (LUT) is used. Better analysis can be implemented through using the LUT method (Lin et al, 2010), so as to obtain the corresponding output value to the memory in the program. The processing speed of this method is usually much higher than that of complex mathematical operational formulas (Lin et al, 2012a).…”

Section: Introductionmentioning

confidence: 99%

An automatic inspection system for segment-type display module defects

et al. 2014

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Purpose – This study aimed to developed a defect detection system for a segment-type display module panel. Design/methodology/approach – The system included a data acquisition card, a video camera, a computer and a display module on a testing table. The video camera captured the display pattern of the display module and transferred it to the computer through the data acquisition card. The dynamic multi-thresholding method and analysis as well as back propagation neural network classification was used to classify the detected defects. Findings – The threshold values for the brightness at different positions in the display module image were obtained using the neural network and then stored in the look-up table, using two to six matrixes. Originality/value – The recognition speed was faster and the system was more flexible in comparison to the previous system. The proposed method, using unsophisticated and economical equipment, was also verified as providing highly accurate results with a low error rate.

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“…The method proposed uses a grid to discretize the information previously obtained from the images by grey-scale techniques [13]. These kinds of grids are used in many vision-related applications, such as robot navigation [14], object positioning [15], and object tracking [16]. The discretization of the data by the grid may consist of two types of information extraction: extracting the information which coincides with the grid lines' intersections or extracting the information contained in the regions formed by the grid lines.…”

Section: Introductionmentioning

confidence: 99%

Correction of the Refraction Phenomenon in Photogrammetric Measurement Systems

Samper¹,

Santolaria²,

Majarena³

et al. 2013

Metrology and Measurement Systems

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This paper presents a method of correcting the effects caused by refraction phenomena in an optical measurement system. The correction algorithm proposed can be applied in many different photogrammetric applications affected by these effects. To validate this algorithm, a foot sole optical measurement system that uses several cameras to build a mesh of a foot sole has been used. This measurement system has six cameras that are protected by a safety glass that separates the cameras from the foot to be measured. The safety glass produces an air-glass-air interface that causes the refraction phenomena, producing deformations in the images. Due to the deformations it is impossible to obtain reliable metric information of the images captured using the measurement system. The developed correction algorithm is based on a grid layout and associated polynomials and makes it possible to correct the deformations and extract accurate metric information.

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A positioning model of a two CCD camera coordinate system with an alternate-four-matrix look-up table algorithm

Cited by 9 publications

References 12 publications

The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

An automatic inspection system for segment-type display module defects

Correction of the Refraction Phenomenon in Photogrammetric Measurement Systems

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