Abstract: A method and a system for generating a multiview stereoscopic image are provided. The method includes the following steps. An image capturing apparatus captures a real calibration panel to obtain multiple images, and a processor obtains a datum image and multiple images to be calibrated by analyzing the images including the real calibration panel. The processor respectively calculates a homography matrix of each of the images to be calibrated corresponding to the datum image according to the datum image and the images to be calibrated. The processor obtains a calibration matrix of the homography matrix by performing a matrix disassembly calculation on each of the homography matrices. The processor multiplies the images to be calibrated by the corresponding calibration matrix to obtain multiple calibrated images. The processor outputs the multiview stereoscopic image including the datum image and the calibrated images.

Abstract: An image correction method of projector and an image correction system are provided. An image capturing apparatus shoots a physical calibration panel to obtain a first image, and shoots an outputting image of a calibration panel pattern on a projection screen outputted from the projector to obtain a second image. A processor analyzes the first image to obtain a first calibration parameter and a first homography matrix, and performs an undistorting operation for the second image based on the first calibration parameter to obtain a third image. The processor analyzes the third image to obtain a second calibration parameter and a second homography matrix of the projector. The processor performs a compensating operation for an original image to be outputted from the projector based on the second calibration parameter, the second homography matrix and the first homography matrix to obtain a compensated image.

Abstract: A multifunctional 3D scanning/printing apparatus is disclosed in the present invention, wherein the multifunctional apparatus comprises both 3D scanning and printing functions, by sharing a Digital Light Processing (DLP) projector or using a beam splitter (for example, a transflective mirror or a flipping mirror, etc.) to achieve a configuration for all sorts of 3D scanning and 3D printing equipment with the required elements within the same apparatus, and uses the accuracy-increasing apparatus (for example, a prism, a lenticular lens, other asymmetric lenses, etc.) so that the measurement accuracy from the two image sensors will not be restricted by the limited space.

Abstract: An image correction method of projector and an image correction system are provided. An image capturing apparatus shoots a physical calibration panel to obtain a first image, and shoots an outputting image of a calibration panel pattern on a projection screen outputted from the projector to obtain a second image. A processor analyzes the first image to obtain a first calibration parameter and a first homography matrix, and performs an undistorting operation for the second image based on the first calibration parameter to obtain a third image. The processor analyzes the third image to obtain a second calibration parameter and a second homography matrix of the projector. The processor performs a compensating operation for an original image to be outputted from the projector based on the second calibration parameter, the second homography matrix and the first homography matrix to obtain a compensated image.

Abstract: A method for three-dimensional data acquisition, adapted to acquire three-dimensional data of an object, includes the following steps. A laser light is projected onto a plurality of regions on the surface of the object so as to form a plurality of features within each of the regions. For each of the regions, the object and the features are captured from a first direction and a second direction simultaneously so as to generate a first object image corresponding to the first direction and a second object image corresponding to the second direction. For each of the regions, the first object image and the second object image are processed so as to obtain the two-dimensional coordinates of the features therein. The three-dimensional data of the object is obtained according to the two-dimensional data of the features in the first object image and the second object image corresponding to each of the regions.

Abstract: A method for calibrating a laser measuring apparatus having a laser illumination unit and an image capturing unit includes the following steps. A calibration board having at least one slit gap and a plurality of markers is provided. The relative position between the calibration board and the laser illumination unit is adjusted to allow a slit laser beam emitted by the laser illumination unit to pass through the at least one slit. The calibration board is captured by the image capturing unit to generate a calibration board image. The calibration board image is processed so as to obtain a camera coordinate of each of the markers. A plurality of calibration parameters are calculated according to the camera coordinate and an actual coordinate of each of the markers so as to obtain actual coordinates of an object captured in an object image generated by the laser measuring apparatus.

Abstract: A multifunctional 3D scanning/printing apparatus is disclosed in the present invention, wherein the multifunctional apparatus comprises both 3D scanning and printing functions, by sharing a Digital Light Processing (DLP) projector or using a beam splitter (for example, a transflective mirror or a flipping mirror, etc.) to achieve a configuration for all sorts of 3D scanning and 3D printing equipment with the required elements within the same apparatus, and uses the accuracy-increasing apparatus (for example, a prism, a lenticular lens, other asymmetric lenses, etc.) so that the measurement accuracy from the two image sensors will not be restricted by the limited space.

Abstract: A method for calibrating a laser measuring apparatus having a laser illumination unit and an image capturing unit includes the following steps. A calibration board having at least one slit gap and a plurality of markers is provided. The relative position between the calibration board and the laser illumination unit is adjusted to allow a slit laser beam emitted by the laser illumination unit to pass through the at least one slit. The calibration board is captured by the image capturing unit to generate a calibration board image. The calibration board image is processed so as to obtain a camera coordinate of each of the markers. A plurality of calibration parameters are calculated according to the camera coordinate and an actual coordinate of each of the markers so as to obtain actual coordinates of an object captured in an object image generated by the laser measuring apparatus.

Abstract: A method for three-dimensional data acquisition, adapted to acquire three-dimensional data of an object, includes the following steps. A laser light is projected onto a plurality of regions on the surface of the object so as to form a plurality of features within each of the regions. For each of the regions, the object and the features are captured from a first direction and a second direction simultaneously so as to generate a first object image corresponding to the first direction and a second object image corresponding to the second direction. For each of the regions, the first object image and the second object image are processed so as to obtain the two-dimensional coordinates of the features therein. The three-dimensional data of the object is obtained according to the two-dimensional data of the features in the first object image and the second object image corresponding to each of the regions.

Abstract: The animation generation system includes: an avatar generation module for generating an avatar in a virtual space, wherein the avatar has a set of skeletons and a skin, and the movable nodes of the set of skeletons are manipulated so that a motion of the skin is induced; and an avatar manipulation module for manipulating the movable nodes, including: a position mark which is moved to at least one first real position in a real space; at least one control mark which is moved to at least one second real position in the real space; and a video capturing unit for capturing the images of the real space; an arithmetic unit for identifying the first real position and the second real position from the images of the real space, and converting the first real position into a first virtual position, and the second real position into a second virtual position.

Abstract: A self-localization device and a method thereof are provided. The self-localization device has a movable carrier, a first laser image-taking device and a processor. The movable carrier can be moved and rotated on a plan. During the motion of the movable carrier, the first laser image-taking device disposed on the movable carrier acquires an i-th lot point data in the space at a time point ti, where i is one index number from 1 to n, and n is an integer. The processor controls the first laser image-taking device, and receives coordinates of the i-th lot point data. The processor executes a K-D tree algorithm to perform a comparison and merge process between the first and the i-th lots point data, so as to establish a two dimensional profile.

Abstract: A three-dimensional surround scanning device and a method thereof are described, which are adopted to perform surround scanning on a scene area, so as to construct a three-dimensional model. The device includes an image acquisition element, a first moving mechanism, a range acquisition element, and a controller. The controller controls the image acquisition element, the range acquisition element, and the first moving mechanism to perform three-dimensional image acquisition, so as to obtain a two-dimensional image covering the scene area, depth information with three-dimensional coordinates, and corresponding position signals. The controller rearranges and combines the two-dimensional image, position signals, and depth information, so as to construct the three-dimensional model.

Abstract: The animation generation system includes: an avatar generation module for generating an avatar in a virtual space, wherein the avatar has a set of skeletons and a skin, and the movable nodes of the set of skeletons are manipulated so that a motion of the skin is induced; and an avatar manipulation module for manipulating the movable nodes, including: a position mark which is moved to at least one first real position in a real space; at least one control mark which is moved to at least one second real position in the real space; and a video capturing unit for capturing the images of the real space; an arithmetic unit for identifying the first real position and the second real position from the images of the real space, and converting the first real position into a first virtual position, and the second real position into a second virtual position.

Abstract: A self-localization device and a method thereof are provided. The self-localization device has a movable carrier, a first laser image-taking device and a processor. The movable carrier can be moved and rotated on a plan. During the motion of the movable carrier, the first laser image-taking device disposed on the movable carrier acquires an i-th lot point data in the space at a time point ti, where i is one index number from 1 to n, and n is an integer. The processor controls the first laser image-taking device, and receives coordinates of the i-th lot point data. The processor executes a K-D tree algorithm to perform a comparison and merge process between the first and the i-th lots point data, so as to establish a two dimensional profile.

Abstract: A 3-D face recognition system has a first data storing module for storing 3-D face model data and 2-D face image data; an input unit for inputting 3-D face model data and 2-D face image data; a signal converting module for converting analog data of the 3-D face model data and 2-D face image data to digital data; a second data storing module for storing the digital data; a microprocessing module for analyzing geometric characteristics of points in the 3-D face model data stored in the first and second data storing module to determine feature points of the 3-D face model data, and assigning different weight ratios to feature points; and a comparing module for comparing the feature points stored in the first and second data storing module, during which, different geometric characteristics being given different weight ratios, and calculating relativity between the feature points to obtain a comparison result.

Abstract: A three-dimensional surround scanning device and a method thereof are described, which are adopted to perform surround scanning on a scene area, so as to construct a three-dimensional model. The device includes an image acquisition element, a first moving mechanism, a range acquisition element, and a controller. The controller controls the image acquisition element, the range acquisition element, and the first moving mechanism to perform three-dimensional image acquisition, so as to obtain a two-dimensional image covering the scene area, depth information with three-dimensional coordinates, and corresponding position signals. The controller rearranges and combines the two-dimensional image, position signals, and depth information, so as to construct the three-dimensional model.

Abstract: A 3-D face recognition system has a first data storing module for storing 3-D face model data and 2-D face image data; an input unit for inputting 3-D face model data and 2-D face image data; a signal converting module for converting analog data of the 3-D face model data and 2-D face image data to digital data; a second data storing module for storing the digital data; a microprocessing module for analyzing geometric characteristics of points in the 3-D face model data stored in the first and second data storing module to determine feature points of the 3-D face model data, and assigning different weight ratios to feature points; and a comparing module for comparing the feature points stored in the first and second data storing module, during which, different geometric characteristics being given different weight ratios, and calculating relativity between the feature points to obtain a comparison result.