Abstract: An image capture device, a depth generating device and a method thereof are disclosed. The present disclosure is characterized in that a depth calculation technology with a structure light projection and a pictorial depth calculation technology are combined to better both of resolution and accuracy of the calculated image depth. In addition, the utilization of a modified flashlight enables the combination of the two technologies to be applied to a hand-held capture device.

Abstract: The present disclosure illustrates a lens distortion correction method to solve influence for distortion correction caused by an alignment error between a lens center and a center of image sensor unit during assembling. The present disclosure is characterized in that the spatial geometric calibration is incorporated with the lens distortion correction and different image centers are selected repeatedly when transformation relationship of image coordinates id used to perform the lens distortion correction, so as to correct the image center of the image to be corrected and enhance the accuracy of lens distortion correction.

Abstract: An image capture device, a depth generating device and a method thereof are disclosed. The present disclosure is characterized in that a depth calculation technology with a structure light projection and a pictorial depth calculation technology are combined to better both of resolution and accuracy of the calculated image depth. In addition, the utilization of a modified flashlight enables the combination of the two technologies to be applied to a hand-held capture device.

Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof, the system is characterized in using multiple lenses and combining multiple focus approaches to improve focus speed and precision. In particular, the system moves multiple lenses simultaneously to perform focusing for reducing focus time efficiently.

Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof. The system is characterized in using multiple lenses and combining a focus depth based approach and a contrast value based approach to improve focus speed and precision. In particular, the system can avoid the impairment caused by the repeat pattern in the focus depth based approach.

Abstract: A method of detecting the subject of an image and imaging device thereof are disclosed. The method comprises the following steps of providing an image capturing module to capture the temporal image, providing the image processing module to receive the temporal image and to determine a plurality of objects from the temporal image, using the image processing module to define a plurality of regions on the temporal image based on the center of temporal image, using the image processing module to assign an initial setup value to each of the objects according to the region corresponding to each of the objects, using the imaging processing module to execute an operation to increase or decrease each of the initial setup values, using the image processing module to execute a sorting, and selecting at least one of the objects as a subject of the temporal image.

Abstract: The present invention discloses a method of image denoising and method of generating motion vector data structure thereof. The method comprises: providing an image sequential capturing module to capture and to receive the plurality of images; generating a global motion vector based on the plurality of images in accordance with a first algorithm; reducing each image as reduced images; dividing each of the first reduced images into a plurality of first areas and generating a first local motion vector based on each of the first areas in accordance with a second algorithm, and via the similar way for generating a second local motion vector; finally, obtaining motion vector data in the plurality of images according to the global motion vector, each of the first local motion vectors and each of the second local motion vectors.