Abstract: A building method and a building system for panorama point cloud data are provided. The building method for panorama point cloud data includes the following steps. At least one reference geometric object located at an overlap region of two adjacent three-dimensional capturing devices is captured by the two adjacent three-dimensional capturing devices to obtain two reference point cloud sets. A reference feature plane is obtained from each of the reference point cloud sets. A coordinate transformation matrix is obtained according to the reference feature planes. A plurality of real-time point cloud sets are obtained by the three-dimensional capturing devices. The coordinate transformation of the real-time point cloud sets are performed according to the coordinate transformation matrix, and the real-time point cloud sets are combined to obtain the panorama point cloud data.

Abstract: A building method and a building system for panorama point cloud data are provided. The building method for panorama point cloud data includes the following steps. At least one reference geometric object located at an overlap region of two adjacent three-dimensional capturing devices is captured by the two adjacent three-dimensional capturing devices to obtain two reference point cloud sets. A reference feature plane is obtained from each of the reference point cloud sets. A coordinate transformation matrix is obtained according to the reference feature planes. A plurality of real-time point cloud sets are obtained by the three-dimensional capturing devices. The coordinate transformation of the real-time point cloud sets are performed according to the coordinate transformation matrix, and the real-time point cloud sets are combined to obtain the panorama point cloud data.

Abstract: An inertial sensing input apparatus includes a motion sensing module, a state determination module, an attitude estimation module, a coordinate transformation module, a gravity elimination module, an integral operation module, a data storage module, a trajectory modification module and a trajectory removal module. When the inertial sensing input apparatus is in a moving time period, the coordinate transformation module transforms a relative acceleration measured by the motion sensing module to an absolute acceleration based on a rotational attitude estimated by the attitude estimation module. The integral operation module calculates a velocity and a displacement based on an absolute acceleration revised by the gravity elimination module and forwards them to the data storage module. When the Kth moving time period is detected by the state determination module, the trajectory modification module modifies a moving trajectory.

Abstract: A system for automatically classifying documents includes a database, a positioning-information capturing device, a locating device, and a document comparison device. The database is used for storing a reference document. The positioning-information capturing device is used for capturing the positioning information of a plurality of objects in a digitized document. The locating device is used for capturing the corresponding objects of the reference document according to the positioning information of the objects. The document comparison device then proceeds with an orientation process and determines whether the digitized document and the reference document are of the same classification according to the distances between all of the objects of the digitized document and the nearest objects thereto in the reference document. A method and a computer readable recording medium for automatically classifying documents are also disclosed.

Abstract: A method for automatically cropping image objects, including: an object contour detecting step, an image dividing step, and an image merging step. The object contour detecting step detects object contours with Modified Laplacian Contour Detector to generate a binary image. The image dividing step divides the binary image into a background region and a plurality of non-background regions with Connected Components Algorithm (CCA). The image merging step merges the closer non-background regions from large to small, and determines whether the merging is reasonable for cropping the image object.

Abstract: A system for automatically classifying documents includes a database, a positioning-information capturing device, a locating device, and a document comparison device. The database is used for storing a reference document. The positioning-information capturing device is used for capturing the positioning information of a plurality of objects in a digitized document. The locating device is used for capturing the corresponding objects of the reference document according to the positioning information of the objects. The document comparison device then proceeds with an orientation process and determines whether the digitized document and the reference document are of the same classification according to the distances between all of the objects of the digitized document and the nearest objects thereto in the reference document. A method and a computer readable recording medium for automatically classifying documents are also disclosed.

Abstract: A method for automatically cropping image objects, including: an object contour detecting step, an image dividing step, and an image merging step. The object contour detecting step detects object contours with Modified Laplacian Contour Detector to generate a binary image. The image dividing step divides the binary image into a background region and a plurality of non-background regions with Connected Components Algorithm (CCA). The image merging step merges the closer non-background regions from large to small, and determines whether the merging is reasonable for cropping the image object.