Abstract: A method for creating visualized effect for data within a three-dimensional space is implemented by a processor executing instructions stored in a non-transitory computer-readable medium. The method includes processing data contained in a data space to retrieve at least one item contained therein; determining a data value of an information attribute of the at least one item; creating a virtual element according to the data value of the information attribute; and controlling a display device to project the virtual element onto a specific location in the three-dimensional space.

Abstract: An image segment method is provided in this disclosure. The method is suitable for an electronic apparatus including a first camera and a motion sensor. The method includes steps of: providing at least one pre-defined model mask; fetching pose data from the motion sensor, the pose data being related to an orientation or a position of the first camera; adjusting one of the at least one pre-defined model mask into an adaptive model mask according to the pose data; and, extracting an object from an image captured by the first camera according to the adaptive model mask.

Abstract: An image processing method includes steps of: providing a source face image and a target face image; extracting facial features from the source face image and the target face image respectively; detecting feature dimensions of the facial features from the source face image and the target face image respectively; pairing the facial features from the source face image with the facial features from the target face image; and, forming an output face image by adjusting the facial features from the source face image in at least one of the feature dimensions according to the paired features from the target face image in the corresponding feature dimensions.

Abstract: A depth processing method, an electronic device and a medium are provided. The depth processing method includes: obtaining a color image and a depth map corresponding to the color image; extracting a plurality of regions from at least one of the depth map and the color image; obtaining region information of the regions, and classifying the regions into at least one of a region-of-interest and a non-region-of-interest according to the region information, wherein the region information comprises area information and edge information; and adjusting a plurality of depth values in the depth map according to the region information.

Abstract: An image processing method includes steps of: providing a source face image and a target face image; extracting facial features from the source face image and the target face image respectively; detecting feature dimensions of the facial features from the source face image and the target face image respectively; pairing the facial features from the source face image with the facial features from the target face image; and, forming an output face image by adjusting the facial features from the source face image in at least one of the feature dimensions according to the paired features from the target face image in the corresponding feature dimensions.

Abstract: An image segment method is provided in this disclosure. The method is suitable for an electronic apparatus including a first camera and a motion sensor. The method includes steps of: providing at least one pre-defined model mask; fetching pose data from the motion sensor, the pose data being related to an orientation or a position of the first camera; adjusting one of the at least one pre-defined model mask into an adaptive model mask according to the pose data; and, extracting an object from an image captured by the first camera according to the adaptive model mask.

Abstract: A related image searching method suitable for searching image files within a database is disclosed. The related image searching method includes steps of: selecting a context-of-interest from a displayed image according to a touch input event; analyzing a content characteristic in the context-of-interest area; determining an implication attribute of the content characteristic; and, searching the database according to the content characteristic and the implication attribute, so as to find out at least one image file with the same content characteristic or the same implication attribute. In addition, a user interface controlling method is also disclosed herein.

Abstract: An electronic device and methods for image stabilization for use in an electronic device are provided. The method includes the steps of: receiving a plurality of motion data, at least a portion of the plurality of motion data corresponding to a first image frame, determining a motion value corresponding to the first image frame according to the portion of motion data, determining a display offset between the first image frame to a reference image frame according to the motion value and providing a portion of the first image frame for display according to the display offset. The reference image frame is displayed prior to the first image frame and is stored in a storage unit.

Abstract: An embodiment of the invention discloses a face-slimming method applied to a series of images captured by an electronic device. The process begins to receive a current image from the series of captured images and detects at least one face landmark corresponding to a face region of the current image. The face landmark of the current image is compared with a reference landmark and a distortion mask is adjusted accordingly. And then, a size of the face region within the current image is then adjusted according to the distortion mask, where the distortion mask corresponds to positions of the face landmark.

Abstract: A depth processing method, an electronic device and a medium are provided. The depth processing method includes: obtaining a color image and a depth map corresponding to the color image; extracting a plurality of regions from at least one of the depth map and the color image; obtaining region information of the regions, and classifying the regions into at least one of a region-of-interest and a non-region-of-interest according to the region information, wherein the region information comprises area information and edge information; and adjusting a plurality of depth values in the depth map according to the region information.

Abstract: An electronic apparatus includes an camera set, an input source module, an auto-engine module and a post usage module. The camera set is configured for capturing image data relative to a scene. The input source module is configured for gathering information related to the image data. The auto-engine module is configured for determining at least one suitable photography effect from a plurality of candidate photography effects according to the information related to the image data. The post usage module is configured for processing the image data and applying the suitable photography effect to the image data after the image data are captured.

Abstract: A related image searching method suitable for searching image files within a database is disclosed. The related image searching method includes steps of: selecting a context-of-interest from a displayed image according to a touch input event; analyzing a content characteristic in the context-of-interest area; determining an implication attribute of the content characteristic; and, searching the database according to the content characteristic and the implication attribute, so as to find out at least one image file with the same content characteristic or the same implication attribute. In addition, a user interface controlling method is also disclosed herein.

Abstract: An embodiment of the invention discloses a face-slimming method applied to a series of images captured by an electronic device. The process begins to receive a current image from the series of captured images and detects at least one face landmark corresponding to a face region of the current image. The face landmark of the current image is compared with a reference landmark and a distortion mask is adjusted accordingly. And then, a size of the face region within the current image is then adjusted according to the distortion mask, where the distortion mask corresponds to positions of the face landmark.

Abstract: An embodiment of an image enhancement method is introduced. An object is detected from a received image according to a object feature. An intensity distribution of the object is computed. A plurality of color values of pixels of the object is mapped to a plurality of new color values of the pixels according to the intensity distribution. Finally, a new image comprising the new color values of the pixels is provided to a user.