Abstract: Provided a walkthrough view generation method, apparatus and device, and a storage medium.

Abstract: A method for replacing a background in a picture, a device, a storage medium and a program product provided in the embodiments relate to image processing technologies and include: acquiring a basic background image of a preset scene, where the basic background image is an image obtained by shooting the preset scene in advance; acquiring a captured picture obtained by currently shooting the preset scene, and determining a current background image of the preset scene according to the basic background image and the captured picture; replacing the current background image in the captured picture with a preset background image to obtain a final captured picture.

Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.

Abstract: In response to movement of an underlying structure, motion of complex objects connected to that structure may be simulated relatively quickly and without requiring extensive processing capabilities. A skeleton extraction method is used to simplify the complex object. Tracking is used to track the motion of the underlying structure, such as the user's head in a case where motion of hair is being simulated. Thus, the simulated motion is driven in response to the extent and direction of head or facial movement. A mass-spring model may be used to accelerate the simulation in some embodiments.

Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.

Abstract: An electronic device and an operation method therefor are provided. The electronic device may include: a display panel; an optical element; and a control unit which senses a location of the optical element, generates a 3D image through via display panel and the optical element in a state in which the display panel and the optical element overlap each other, and generates a 2D image via the display panel in a state in which the optical element is detached or separated from the display panel.

Abstract: In response to movement of an underlying structure, motion of complex objects connected to that structure may be simulated relatively quickly and without requiring extensive processing capabilities. A skeleton extraction method is used to simplify the complex object. Tracking is used to track the motion of the underlying structure, such as the user's head in a case where motion of hair is being simulated. Thus, the simulated motion is driven in response to the extent and direction of head or facial movement. A mass-spring model may be used to accelerate the simulation in some embodiments.

Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.

Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

Abstract: Methods and apparatus relating to a unified environmental mapping framework are described. In an embodiment, Environmental Mapping (EM) logic performs one or more operations to extract illumination information for an object from an environmental map in response to a determination that the object has a diffuse surface and/or specular surface. Memory, coupled to the EM logic, stores data corresponding to the environmental map. Other embodiments are also disclosed and claimed.

Abstract: An eyeglass-less 3D display device, and a device and method that compensate for a displayed margin of error are provided. The display device acquires an image of an integral image display (IID) image captured by a single camera, and compensates for a margin of error which arises due to a discrepancy between the designed position of a micro lens array located on one surface of a 2D panel and the actual position thereof, so as to provide a high-quality 3D image.

Abstract: A three-dimensional (3D) display method includes generating N first visual images, N being a natural number greater than 1; generating M second visual images from each of the N first visual images, M being a natural number greater than 1; acquiring N visual image groups corresponding to the N first visual images, respectively, such that, for each one of the N visual image groups, the visual image group includes the M second visual images generated from the first visual image, from among the N first visual images, to which the visual image group corresponds; generating M elemental image array (EIA) images based on the N visual image groups; and time-share displaying the M EIA images.

Abstract: Provided are methods and apparatuses for calibrating a three-dimensional (3D) image in a tiled display including a display panel and a plurality of lens arrays. The method includes capturing a plurality of structured light images displayed on the display panel, calibrating a geometric model of the tiled display based on the plurality of structured light images, generating a ray model based on the calibrated geometric model of the tiled display, and rendering an image based on the ray model.

Abstract: Disclosed are a content display method and an electronic device. The content display method includes reducing display brightness of some of a plurality of pixels constituting content based on pixel information of the plurality of pixels. The content display method includes displaying the content based on the reduced display brightness.

Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, methods and storage medium associated with animating and rendering an avatar are disclosed herein. In embodiments, the apparatus may comprise an avatar animation engine to receive a plurality of fur shell texture data maps associated with a furry avatar, and drive an avatar model to animate the furry avatar, using the plurality of fur shell texture data maps. The plurality of fur shell texture data maps may be generated through sampling of fur strands across a plurality of horizontal planes. Other embodiments may be described and/or claimed.

Abstract: A three-dimensional (3D) display method includes generating N first visual images, N being a natural number greater than 1; generating M second visual images from each of the N first visual images, M being a natural number greater than 1; acquiring N visual image groups corresponding to the N first visual images, respectively, such that, for each one of the N visual image groups, the visual image group includes the M second visual images generated from the first visual image, from among the N first visual images, to which the visual image group corresponds; generating M elemental image array (EIA) images based on the N visual image groups; and time-share displaying the M EIA images.