In one embodiment, a method includes accessing an image of a physical world scene, detecting a number of straight-line segments in the accessed image, identifying a first vanishing point and a second vanishing point in the image, where each vanishing point corresponds to a sub-set of the number of straight-line segments, and where the first vanishing point and the second vanishing point are orthogonal, identifying a planar region in the accessed image represented by one or more straight-line segments associated with the first vanishing point and one or more straight-line segments associated with the second vanishing point, transforming a virtual object associated with the planar region based on one or more properties associated with the planar region, and displaying the transformed virtual object over the image.

A method for super resolution of an image imitating optical zoom implemented on a resource-constrained mobile device is includes inputting a first-resolution image. The method also includes assigning a super resolution factor from a predefined set of super resolution factors that indicate increasing the first resolution to obtain a second-resolution image. The super resolution factor indicates a trained intelligent system imitating the operation of the corresponding optical system among a plurality of intelligent systems trained for each super resolution factor of the predefined set of super resolution factors. The method further includes transforming the first-resolution image into the second-resolution image using said trained intelligent system.

An image processing apparatus is provided. The image processing apparatus includes a memory configured to store at least one instruction; and a processor configured to read the at least one instruction and configured to, according to the at least one instruction: apply a learning network model to an input image frame and acquire information on an area of interest; and acquire an output image frame by retargeting the input image frame based on the acquired information on the area of interest. The learning network model is a model that is trained to acquire the information on the area of interest in the input image frame.

An electronic device includes a display, a processor and a memory that stores an image file having image data. The image data includes at least one object and metadata. The metadata includes information about an area corresponding to the at least one object and identification information of the at least one object. The processor outputs the area of the image file, which includes the identification information corresponding to a user input as a thumbnail of the image file, in the display in response to the user input.

The stereoscopic recording and evaluation of a monitoring area frequently requires high computer powers. A control device (2) for a camera apparatus (3) for the stereoscopic recording of a monitoring area is proposed. In this case, recorded monitoring images (10, 11) have their resolution reduced in particular areas by a processing module and are converted into reduced images (16, 17). The reduced images have a high-resolution section (20) and a low-resolution section (19), wherein the high-resolution section (20) is a respective section showing a distant area of the monitoring area (5), the distant area being an area of the monitoring area (5) that is further away from the camera apparatus (3) than a bounding object area (G). An evaluation module (15) is used to stereoscopically evaluate the monitoring area (5) based on the first reduced image (16) and the second reduced image (17).

An apparatus and method for electronically creating combined digital images of a person and incorporating them into a series of background images or film clips making it appear as if the user were actually a part of the original imaging sequence. The camera can move to take the images from different angles and in an alternative embodiment there are multiple cameras situated such that they sequentially capture and store a series of images to be incorporated into the product. An alternative housing apparatus is in a booth for automatically producing an imaging sequence of a self-portrait of the user integrated into a stored background or film clip, including a cash or credit card receiving device, a computer triggered by cash or credit received in the device, a movable digital camera or video camera to view the user, a video monitor for self-viewing, and the possibility of one located outside the booth for advertising or amusement purposes. A series of stored digital imaging movie clips for selective withdrawal by the user where the captured sequence of the user is automatically integrated into stock stored movie clips and can be either output in an e-mail message posted to a board with a link to user's choice of e-mail friends' addresses for retrieval or a direct link to friend's and family's e-mail addresses or an output device with hard copy of personalized sequence to CD ROM or Video or hard copy print of a still image.

[Object] To generate, for a panoramic image, a thumbnail image showing satisfactory visibility when displayed. [Solution] Both first thumbnail image data generated by applying resolution conversion to panoramic image data generated by combining a plurality of captured images and second thumbnail image data generated by performing aspect ratio adjustment processing on the panoramic image data are generated as thumbnail images for the panoramic image data.

This application discloses a head mounted display device for extending a display area of an electronic device and a processing method of the head mounted display device. A display of the electronic device displays first content of an image. The image further includes second content that is not displayed on the display of the electronic device. The head mounted display device obtains, by using an image sensor, the first content displayed on the display of the electronic device, performs projection transformation on the second content, and displays the obtained first content and the second content obtained after the projection transformation on the display of the head mounted display device.

Systems and methods for dynamic modification of image resolution are disclosed. In embodiments, a method comprises: identifying, by the computing device, one or more contextually relevant portions of a digital image based on user context data; creating, by the computing device, boundaries that define the one or more contextually relevant portions of the digital image; ranking, by the computing device, the one or more contextually relevant portions and one or more remaining portions of the digital image; and generating, by the computing device, an altered version of the digital image, wherein the altered version comprises one or more contextually relevant portions at a higher resolution than the one or more remaining portions.

The invention discloses a method of face image fusion, which is can be used to fuse a face in a target image with a face in a material image, and the method comprises: calculating three-dimensional models of face in the material image and the target image as a first three-dimensional model and a second three-dimensional model respectively; calculating a first projection matrix and a second projection matrix by projecting the first three-dimensional model and the second three-dimensional model projecting onto a plane respectively; calculating a first texture coordinate according to the first three-dimensional model and the first projection matrix; calculating a second texture coordinate according to the second three-dimensional model and the second projection matrix; obtaining a re-constructed face image of the target image by replacing the first texture coordinate with the second texture coordinate; and fusing the re-constructed face image of the target image with the material image to generate the fusion image. The invention also discloses the related device of face image fusion and computing device.