Abstract: A velocity measuring device includes an event sensor, a ranging sensor and a controller. The event sensor could detect a first image frame of an object along a plane at a first time point and detect a second image frame of the object at a second time point. The ranging sensor could detect a first depth of the object along a depth direction at the first time point, wherein the depth direction is substantially perpendicular to the plane and detect a second depth of the object along the depth direction at the second time point. The controller could obtain first-dimensional velocity and a second-dimensional velocity along the plane according to the first image frame, the second image frame, the first depth and the second depth, and obtain a third-dimensional velocity along the depth direction according to the first depth or the second depth.

Abstract: Firstly, a measurement space is defined with a plurality of voxels. When the object is located within the measurement space, at least a depth map of the object is generated by photographing the object from at least a viewpoint. View direction and coordinates of the at least a viewpoint are also obtained. A plurality of redundant voxels, which are not belong to the object, are eliminated from the measurement space according to the at least a map, the view direction and the coordinates of the at least a viewpoint. The volume and/or the dimension of the object is calculated based on remaining voxels of the measurement space after the redundant voxels are eliminated from the measurement space.

Abstract: A face detecting method and a face detecting system are provided. The face detecting method includes the following steps: At least one original image block is received. The original image block is transformed by a transforming unit to obtain a plurality of different transformed image blocks. Whether each of the transformed image blocks contains a face is detected by a detecting unit according to only one identical face database and a detecting result value is outputted accordingly. The transformed image blocks are detected by a plurality of parallel processing cores. Whether a maximum of the detecting result values is larger than a threshold value is determined by a determiner. If the maximum of the detecting result values is larger than the threshold value, then the determiner deems that the original image block contains a face.

Abstract: An image processing method and a device for redeye correction are provided. In the method, a face region of a pending image is received and detected. At least one region of interest (ROI) is set in the face region. The ROI is segmented according to a color model so as to produce a plurality of candidate regions. Each of the candidate regions is filtered separately according to a candidate region filtering method. It is determined whether a color candidate region is produced after filtering. If yes, luminance values of a plurality of pixels in the ROI are calculated by a contrast mask. The ROI is segmented by using a calculated luminance distribution so as to produce a high contrast candidate region. An overlapped portion between the color and the high contrast candidate regions is taken as a redeye region, and the redeye region is corrected to produce a corrected image.