Abstract: A method for processing optical imaging data is provided. The method includes performing a phase error calibration procedure, performing a data acquisition procedure, and performing an imaging computation & analysis procedure. A reference clock signal and an A-scan signal are both received by a data acquisition unit during the phase error calibration procedure while only the A-scan signal is received by the data acquisition unit during the data acquisition procedure. A SS-OCT system for performing the above-mentioned method is provided also. Furthermore, a SS-OCT system having synchronization processing unit therein is provided.

Abstract: A method for generating image depth of a stereo image is provided. The method includes the following steps. Firstly, a stereo image is received. Next, a number of paths with greater gradient are searched in the stereo image. Then, the image depths of a number of first pixels in the paths are generated. After that, the image depths of a number of second pixels not in the paths are generated according to the image depths of the first pixels.

Abstract: A depth calculating method is provided for calculating corresponding depth data in response to frame data, which includes macroblocks. The depth calculating method includes the following steps. First, a type of video is decided according to a video content. A motion vector is obtained from decompressed video information and is modified according to a shot change detection and camera motion data. Then, multiple pieces of macroblock motion parallax data respectively corresponding to the macroblocks are found according to motion vector data of the modified macroblocks. Thereafter, the depth data corresponding to the frame data is calculated according to the pieces of macroblock motion parallax data, variance data, contrast data and texture gradient data.

Abstract: An example-based 2D to 3D image conversion method, a computer readable medium therefor, and a system are provided. The embodiments are based on an image database with depth information or with which depth information can be generated. With respect to a 2D image to be converted into 3D content, a matched background image is found from the database. In addition, graph-based segmentation and comparison techniques are employed to detect the foreground of the 2D image so that the relative depth map can be generated from the foreground and background information. Therefore, the 3D content can be provided with the 2D image plus the depth information. Thus, users can rapidly obtain the 3D content from the 2D image automatically and the rendering of the 3D content can be achieved.

Abstract: A parallel processing method for synthesizing multi-view images is provided, which may parallel process at least a potion of the following steps. First, multiple reference images are input, wherein each reference image is correspondingly taken from a reference viewing angle. Next, an intended synthesized image corresponding to a viewpoint and an intended viewing angle is determined. Next, the intended synthesized image is divided to obtain multiple meshes and multiple vertices of the meshes, wherein the vertices are divided into several vertex groups, and each vertex and the viewpoint form a view direction. Next, the view direction is referenced to find several near-by images from the reference images for synthesizing an image of a novel viewing angle. After the foregoing actions are totally or partially processed according to the parallel processing mechanism, separate results are combined for use in a next processing stage.

Abstract: A method for synthesizing an image with multi-view images includes inputting multiple images, wherein each of the reference images is corresponding to a reference viewing-angle for photographing; synthesizing an image corresponding to a viewpoint and an intended viewing-angle; segmenting the intended synthesized image to obtain a plurality of meshes and a plurality of vertices of the meshes. Each of the vertices and the viewpoint respectively establish a viewing-angle, and the method further includes searching a plurality of neighbouring images among the reference images referring to the viewing-angle. If at least one of the neighbouring images falls within an adjacent region of the vertex, a first mode is adopted without interpolation to synthesize the intended synthesized image; when none of the neighbouring images falls within the adjacent region of the vertex, a second mode is adopted, where a weighting-based interpolation mechanism is used for synthesizing the intended synthesized image.

Abstract: A method for monitoring a step motor is provided, wherein the step motor rotates from a start position to an end position and then back to the start position repeatedly. The monitoring method includes: detecting a status signal of the step motor and a command signal received by the step motor in real time; recording a variation of the difference between the command signal and the status signal vs. time as an error data; and determining whether the step motor is starting from the start position, in action, reaching the end position, or returning to the start position according to the status signal and the command signal. If it is determined that the step motor is in action, the error data is recorded as a tracking error, and whether an alarm is issued is determined according to the tracking error.