Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: An image capturing device and a digital zooming method thereof are proposed in the invention. The method includes the following steps. A scene is captured by a primary lens and a secondary lens to generate a primary image and a secondary image. Image rectification is then performed on the primary and the secondary images to obtain two corresponding rectified images. Feature points detected and matched from the two rectified images are used to determine a corresponding overlapping region, respectively. Pixel displacement and depth map in the two overlapping regions could be calculated and estimated. Image zooming and warping techniques are performed on the two rectified images to obtain corresponding warped images using a recalculated homography matrix according to each specific zooming factor. Finally, the two overlapping regions in the warped image are fused by a weighted blending approach to generate a digital zoomed image.

Abstract: An image capturing device and a digital zooming method thereof are proposed in the invention. The method includes the following steps. A scene is captured by a primary lens and a secondary lens to generate a primary image and a secondary image. Image rectification is then performed on the primary and the secondary images to obtain two corresponding rectified images. Feature points detected and matched from the two rectified images are used to determine a corresponding overlapping region, respectively. Pixel displacement and depth map in the two overlapping regions could be calculated and estimated. Image zooming and warping techniques are performed on the two rectified images to obtain corresponding warped images using a recalculated homography matrix according to each specific zooming factor. Finally, the two overlapping regions in the warped image are fused by a weighted blending approach to generate a digital zoomed image.

Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: An emotion abreaction device including a body, a control unit, a man machine interacting module and an emotion abreaction unit is provided. The control unit, the man machine interacting module and the emotion abreaction unit are disposed in the body. The man machine interacting module is electrically connected to the control unit for the user to select an emotion abreaction mode. The emotion abreaction unit is electrically connected to the control unit and has at least one sensor to measure force and/or volume for the user to abreact by knocking and/or yelling. Moreover, a using method of an emotion abreaction device includes turning on the emotion abreaction device, and then, responding to the user with a voice and/or an image according to the sensing result of the magnitude of the volume and/or the force after the user knocks and/or yells to an emotion abreaction unit of the emotion abreaction device.

Abstract: An emotion abreaction device including a body, a control unit, a man machine interacting module and an emotion abreaction unit is provided. The control unit, the man machine interacting module and the emotion abreaction unit are disposed in the body. The man machine interacting module is electrically connected to the control unit for the user to select an emotion abreaction mode. The emotion abreaction unit is electrically connected to the control unit and has at least one sensor to measure force and/or volume for the user to abreact by knocking and/or yelling. Moreover, a using method of an emotion abreaction device includes turning on the emotion abreaction device, and then, responding to the user with a voice and/or an image according to the sensing result of the magnitude of the volume and/or the force after the user knocks and/or yells to an emotion abreaction unit of the emotion abreaction device.