Abstract:
Provided are a multi-primitive fitting method including an acquiring point cloud data by collecting data of each of input points, a obtaining a segment for the points using the point cloud data, and a performing primitive fitting using data of points included in the segment and the point cloud data, and a multi-primitive fitting device that performs the method.
Abstract:
Disclosed is a method of calibrating a depth image based on a relationship between a depth sensor and a color camera, and an apparatus for calibrating a depth image may include a three-dimensional (3D) point determiner to determine a 3D point of a camera image and a 3D point of a depth image simultaneously captured with the camera image, a calibration information determiner to determine calibration information for calibrating an error of a depth image captured by the depth sensor and a geometric information between the depth sensor and a color camera, using the 3D point of the camera image and the 3D point of the depth image, and a depth image calibrator to calibrate the depth image based on the calibration information and the 3D point of the depth image.
Abstract:
Disclosed is a method of performing geometric correction on images obtained by multiple cameras and an image obtainment apparatus therefor, the method including: receiving the images obtained by the multiple cameras; extracting feature points of the received images and checking an interrelation between the extracted feature points; estimating locations and directions of the cameras, which respectively obtain the images, by using the interrelation between the feature points; calculating a relative geometric relationship between the multiple cameras from the estimated locations and directions of the cameras when the received images are determined as the images obtained by the multiple cameras with a fixed geometric interrelationship; and performing the geometric correction on each of the images by using the calculated geometric relationship. The method of efficiently performing geometric correction according to the embodiment of the present invention enables images to be obtained easily using the unmanned device with a short photographing time.
Abstract:
Disclosed is a method of reconstructing a three-dimensional color mesh and an apparatus for the same. According to an embodiment of the present disclosure, the method includes: receiving mesh information of an object, multiple multi-view images obtained by photographing the object at different positions, and camera parameter information corresponding to the multiple multi-view images; constructing a texture map with respect to the object on the basis of the received information and setting a texture patch referring to a color value of the same multi-view image; correcting a color value of a vertex included for each texture patch; and performing rendering with respect to the object by applying the corrected color value of the vertex to the texture map.
Abstract:
Provided are a system and method for pre-verifying stability such that a 3D printing output can be balanced on the center thereof even without a support or a fixture. The system for pre-verifying stability of a 3D printing output includes a slicing unit configured to slice a 3D object, a distance map creating unit configured to create a distance map of each plane obtained by slicing the 3D object, a safety zone searching unit configured to search for a stability safety zone of the sliced 3D object, a stability verifying unit configured to verify stability of the 3D object using the stability safety zone, and a stability securing unit configured to determine a position of an inner mesh of the 3D object.
Abstract:
Provided is an apparatus and method for extracting a movement path, the movement path extracting apparatus including an image receiver to receive an image from a camera group in which a mutual positional relationship among cameras is fixed, a geographic coordinates receiver to receive geographic coordinates of a moving object on which the camera group is fixed, and a movement path extractor to extract a movement path of the camera group based on a direction and a position of a reference camera of the camera group using the image and the geographic coordinates.
Abstract:
A primitive fitting apparatus is provided. The primitive fitting apparatus may include a selecting unit to receive, from a user, a selection of points used to fit a primitive a user desires to fit from a point cloud, an identifying unit to receive a selection of the primitive from the user and to identify the selected primitive, and a fitting unit to fit the primitive to correspond to the points, using the points and primitive.
Abstract:
A view image providing device and method are provided. The view image providing device may include a panorama image generation unit to generate a panorama image using a cube map including a margin area by obtaining an omnidirectional image, a mesh information generation unit to generate 3-dimensional (3D) mesh information that uses the panorama image as a texture by obtaining 3D data, and a user data rendering unit to render the panorama image and the mesh information into user data according to a position and direction input by a user.