Abstract: A computing apparatus, method, and non-transitory computer readable storage medium thereof are provided. The apparatus receives a plurality of character motion data of a plurality of virtual characters. The apparatus classifies the virtual characters based on the character motion data to generate a plurality of frame update groups, and each of the frame update groups corresponds to a motion calculation period. At each frame, the apparatus selects one of at least one subset of each of the frame update groups to calculate a motion synthesis for each of the virtual characters.

Abstract: A cloud system of non-invasive measuring blood glucose is disclosed, and includes a non-invasive measuring blood glucose device, a mobile electronic device, and a cloud server for implementing a process of cloud measuring blood glucose. The non-invasive measuring blood glucose device is intended for a user to contact, and the mobile electronic device executing an application is in a non-contact manner connected to the non-invasive measuring blood glucose device. The cloud server is connected to the mobile electronic device. In particular, the non-invasive measuring blood glucose device generates a stimulating signal for the user to contact, and then induces a sensing signal respective of the stimulating signal, and the mobile electronic device receives and further transmits the sensing signal to the cloud server. The cloud server calculates and transmits blood glucose to the mobile electronic device for instantly displaying the blood glucose for the user.

Abstract: A method to provide a 3D outfit model able to be adjusted corresponding to a 3D human model. The method includes following steps. A three-dimensional (3D) human model is provided, and vertices of the 3D human model are located at first positions. A 3D outfit model is provided, and vertices of the 3D outfit model are located at second positions. In response to that the 3D human model is deformed and the vertices of the 3D human model are displaced from the first positions to third positions, the 3D outfit model is adjusted corresponding to the 3D human model, by setting each of the vertices of the 3D outfit model to fourth positions according to the second positions and displacements of the vertices of the 3D human model between the first positions and the third positions.

Abstract: An image segmentation method includes displaying, through a display component, an original designation region relative to an image; receiving a user input on the image, in which the user input is at least one stroke on the image; segmenting a regional area corresponding to the stroke to update the original designation region, in which the regional area at least partially overlaps with the original designation region.

Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.

Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.

Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.

Abstract: A method to provide a 3D outfit model able to be adjusted corresponding to a 3D human model. The method includes following steps. A three-dimensional (3D) human model is provided, and vertices of the 3D human model are located at first positions. A 3D outfit model is provided, and vertices of the 3D outfit model are located at second positions. In response to that the 3D human model is deformed and the vertices of the 3D human model are displaced from the first positions to third positions, the 3D outfit model is adjusted corresponding to the 3D human model, by setting each of the vertices of the 3D outfit model to fourth positions according to the second positions and displacements of the vertices of the 3D human model between the first positions and the third positions.

Abstract: An image segmentation method includes displaying, through a display component, an original designation region relative to an image; receiving a user input on the image, in which the user input is at least one stroke on the image; segmenting a regional area corresponding to the stroke to update the original designation region, in which the regional area at least partially overlaps with the original designation region.

Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.

Abstract: A touch selection method, an electronic apparatus, and a non-transitory computer readable medium are disclosed herein. The touch selection method is able to perform a touch selection on a display of an electronic apparatus, in which the display displays content. The touch selection method includes following operations: assigning a selection unit corresponding to one of zoom levels, in which the selection unit includes pixels on the display that are regarded as a minimum selectable component for the touch selection.

Abstract: A stylized QR code generating apparatus is provided, which includes: an image adjusting module having an image detecting unit and a shape distorting unit; and a code stylizing module having a boundary matching unit and a boundary adjusting unit. The image detecting unit detects an error value generated in a QR code when a predetermined image is embedded in the QR code, and the shape distorting unit distorts a plurality of meshes converted from the image to adjust a shape of the image and thereby correct the error value in the QR code. The boundary matching unit matches a plurality of first boundary sections of the QR code with second boundary sections of a predetermined pattern, and the boundary adjusting unit adjusts the first boundary sections to the matched second boundary sections, respectively.

Abstract: A method in a video playback system for playing a video with a specific playback speed in accordance with a video feature and a playback record is described. The system allows the playback record records a preceding playback speed corresponding to the video previously played to learn user preferences for a user. This makes the specific playback speed more suitable for the user without any adjustment. In addition, the system also allows the user input a resetting playback speed to actively adjust the specific playback speed if the original specific playback speed is not suitable for the user.

Abstract: A method in a video playback system for playing a video with a specific playback speed in accordance with a video feature and a playback record is described. The system allows the playback record records a preceding playback speed corresponding to the video previously played to learn user preferences for a user. This makes the specific playback speed more suitable for the user without any adjustment. In addition, the system also allows the user input a resetting playback speed to actively adjust the specific playback speed if the original specific playback speed is not suitable for the user.