Abstract: The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

Abstract: The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

Abstract: The present disclosure discloses a method for suturing 3D coordinate information. The method includes disposing a correction block on a test platform; capturing first 3D coordinate information represented by a first viewing angle and second 3D coordinate information represented by a second viewing angle from the correction block; determining a first center coordinate of the first 3D coordinate information and a second center coordinate of the second 3D coordinate information; superimposing the first 3D coordinate information to the second 3D coordinate information to form first overlap 3D coordinate information; suturing the first 3D coordinate information into the second 3D coordinate information to form a first 3D coordinate suturing result according to an iterative closet point algorithm; and determining a first transformation relation of the first viewing angle versus the second viewing angle according to the first 3D coordinate information and the first 3D coordinate suturing result.

Abstract: A capturing method for a plurality of images with different view-angles and a capturing system using the same are provided. The capturing method for the images with different view-angles includes the following steps. An appearance image of an object is captured by an image capturing unit at a capturing angle. A light reflection area of the appearance image is detected by a detecting unit, and a dimension characteristic of the light reflection area is analyzed by the same. Whether the dimension characteristic of the light reflection area is larger than a first predetermined value is determined. If the dimension characteristic of the light reflection area is larger than the first predetermined value, then the capturing angle is adjusted within a first adjusting range. After the step of adjusting the capturing angle within a first adjusting range is performed, the step of capturing the appearance image is performed again.

Abstract: A robot positioning method includes the following steps. A optical sensing device is configured at a front end of a robot. Then, the optical sensing device captures a calibration plate image, and a relative position of the optical sensing device with respective to a calibration plate is calculated according to a Bundle Adjustment. A robot calibration method includes the following steps. An optical sensing device is driven to rotate around a reference axis of a calibration plate, so as to calculate a translation matrix between the calibration plate and the robot, and the optical sensing device is driven to translate along three orthogonal reference axes of the calibration plate, so as to calculate a rotation matrix between the calibration plate and the robot.

Abstract: A capturing method for a plurality of images with different view-angles and a capturing system using the same are provided. The capturing method for the images with different view-angles includes the following steps. An appearance image of an object is captured by an image capturing unit at a capturing angle. A light reflection area of the appearance image is detected by a detecting unit, and a dimension characteristic of the light reflection area is analyzed by the same. Whether the dimension characteristic of the light reflection area is larger than a first predetermined value is determined. If the dimension characteristic of the light reflection area is larger than the first predetermined value, then the capturing angle is adjusted within a first adjusting range. After the step of adjusting the capturing angle within a first adjusting range is performed, the step of capturing the appearance image is performed again.

Abstract: A robot positioning method includes the following steps. A optical sensing device is configured at a front end of a robot. Then, the optical sensing device captures a calibration plate image, and a relative position of the optical sensing device with respective to a calibration plate is calculated according to a Bundle Adjustment. A robot calibration method includes the following steps. An optical sensing device is driven to rotate around a reference axis of a calibration plate, so as to calculate a translation matrix between the calibration plate and the robot, and the optical sensing device is driven to translate along three orthogonal reference axes of the calibration plate, so as to calculate a rotation matrix between the calibration plate and the robot.