Abstract: A stereoscopic image shooting system including an image shooting module and a score evaluation module is provided. The image shooting module is used for shooting a plurality of multi-view images of an object. The score evaluation module analyzes a plurality of stereoscopic images formed from the multi-view images to calculate a stereoscopic quality score of the stereoscopic images.

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: 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 method for rapidly building image space relation using plane filtering limitation is provided. The method comprises first getting a plurality of continuous image data taken from different shooting angles. Then, a plurality of feature points of the image data is initialized. Next, a number of feature points of those image data is randomly extracted and compared to determine whether the compared feature points are coplanar or not. When the selected feature points are not coplanar, an epipolar fundamental matrix is calculated according to the selected feature points. On the contrary, when the selected feature points are coplanar, a medium error value for all the feature points is set as a maximum value.

Abstract: A method for corresponding, evolving and tracking feature points in a three-dimensional space performs corresponding, evolving and tracking on the features points after transferring the two-dimensional feature point information in an image information into a corresponding state in the three-dimensional space. A recursion is employed to continuously update the states of the feature points in the three-dimensional space and evaluate the stability of the feature points by evolving. Hence, the obtained three-dimensional feature point information has a stronger corresponding relationship than the feature point information conventionally generated on the basis of the two-dimensional feature point information. As a result, a more precise three-dimensional scene can then be constructed.

Abstract: A method for rapidly building image space relation using plane filtering limitation is provided. The method comprises first getting a plurality of continuous image data taken from different shooting angles. Then, a plurality of feature points of the image data is initialized. Next, a number of feature points of those image data is randomly extracted and compared to determine whether the compared feature points are coplanar or not. When the selected feature points are not coplanar, an epipolar fundamental matrix is calculated according to the selected feature points. On the contrary, when the selected feature points are coplanar, a medium error value for all the feature points is set as a maximum value.

Abstract: A holding chuck for fastening tools includes a spindle in the center that has one end coupling with a fastening tool to receive a rotational driving force and another end coupling with a screw head of a screw to perform fastening or unfastening. The spindle is coupled with a hollow holding member on the periphery. The holding member has an indented dome on the bottom to magnetically attract the screw head. The dome has an annular wall with a plurality of wedge elements wedged therein. The wedge elements are confined by an elastic ring on the outside. Thus the holding chuck can hold magnetic and non-magnetic screws.