Abstract: A digital 3D object processing apparatus is provided, for processing a digital 3D object comprising a plurality of sub-objects belonging to one of a plurality of digital 3D object formats, comprising: a communication unit coupled to a first outer computer through a network; an interface unit coupled to the communication unit, receiving an instruction from the first outer computer; and a control command unit coupled to the communication unit, transmitting a control command to the first outer computer, wherein the first outer computer establishes a relative position of the plurality of sub-objects according to the control command, and transmits the relative position and the plurality of sub-objects to the communication unit.

Abstract: A digital 3D object processing apparatus is provided, for processing a digital 3D object comprising a plurality of sub-objects belonging to one of a plurality of digital 3D object formats, comprising: a communication unit coupled to a first outer computer through a network; an interface unit coupled to the communication unit, receiving an instruction from the first outer computer; and a control command unit coupled to the communication unit, transmitting a control command to the first outer computer, wherein the first outer computer establishes a relative position of the plurality of sub-objects according to the control command, and transmits the relative position and the plurality of sub-objects to the communication unit.

Abstract: An adjustable hierarchical scoring method is disclosed. A hierarchical scoring structure for speech-sound data is generated. Historical data of speech-sound scoring for the speech-sound data is retrieved from a speech-sound practice database while a professional scoring result for the hierarchical scoring structure of the speech-sound data is being collected. A weight-adjusting operation is performed according to the historical data of speech-sound scoring and the professional scoring result to calculate optimum adjusting weights for each layer of the hierarchical scoring structure. Retrieved speech-sound data of a student is scored using a speech-sound scoring system and a weighted average operation is performed to the score of the speech-sound data of the student according to a corresponding adjusting weight, thereby generating the final score of the speech-sound data of the student.

Abstract: Systems and methods for obtaining camera parameters from images are provided. First, a sequence of original images associated with a target object under circular motion is obtained. Then, a background image and a foreground image corresponding to the target object within each original image are segmented. Next, shadow detection is performed for the target object within each original image. A first threshold and a second threshold are respectively determined according to the corresponding background and foreground images. Each original image, the corresponding background image, the first and second threshold are used for obtaining silhouette data and feature information associated with the target object within each original image. At least one camera parameter is obtained based on the entire feature information and the geometry of circular motion.

Abstract: An adjustable hierarchical scoring method is disclosed. A hierarchical scoring structure for speech-sound data is generated. Historical data of speech-sound scoring for the speech-sound data is retrieved from a speech-sound practice database while a professional scoring result for the hierarchical scoring structure of the speech-sound data is being collected. A weight-adjusting operation is performed according to the historical data of speech-sound scoring and the professional scoring result to calculate optimum adjusting weights for each layer of the hierarchical scoring structure. Retrieved speech-sound data of a student is scored using a speech-sound scoring system and a weighted average operation is performed to the score of the speech-sound data of the student according to a corresponding adjusting weight, thereby generating the final score of the speech-sound data of the student.