Abstract: A method for generating one or more two-dimensional texture maps of an object includes receiving an image frame that includes at least a portion of the object from an image capture device. The method also includes determining, at a processor, a color of a particular portion of the object using the image frame and determining a material of the particular portion of the object using the image frame. The method further includes determining at least one other property of the particular portion of the object based on the material. The method also includes generating a pixel value representative of the color of the particular portion of the object and representative of the at least one other property of the particular portion of the object. The method also includes generating at least one two-dimensional texture map based on the pixel value.

Abstract: Techniques are described related to generating image content. A graphics processing unit (GPU) is configured to receive a first set of images generated from a first camera device in a first location, the first camera device having a first orientation, render for display the first set of images oriented to an orientation reference, receive a second, different set of images generated from a second, different camera device in a second, different location, the second camera device having a second orientation, the second orientation being different than the first orientation, and render for display the second set of images oriented to the orientation reference.

Abstract: A method performed by an electronic device is described. The method includes obtaining one or more trip objectives. The method also includes obtaining one or more evaluation bases. The method further includes identifying an association between at least one site and the one or more trip objectives. The method additionally includes obtaining sensor data from the at least one site. The sensor data includes at least image data. The method also includes performing analysis on the image data to determine dynamic destination information corresponding to the at least one site. The method further includes performing trip planning based on the dynamic destination information, the one or more trip objectives, and the one or more evaluation bases. The method additionally includes providing one or more suggested routes based on the trip planning.

Abstract: In general, techniques are described that facilitate processing of a depth map image in mobile devices. A mobile device comprising a depth camera, a camera and a processor may be configured to perform various aspects of the techniques. The depth camera may be configured to capture a depth map image of a scene. The camera may include a linear polarization unit configured to linearly polarize light entering into the camera. The camera may be configured to rotate the linearly polarization unit during capture of the scene to generate a sequence of linearly polarized images of the scene having different polarization orientations. The processor may be configured to perform image registration with respect to the sequence of linearly polarized images to generate a sequence of aligned linearly polarized images, and generate an enhanced depth map image based on the depth map image and the sequence of aligned linearly polarized images.

Abstract: A method for adjusting pixel colors between image frames includes scanning, at a processor, a first image frame of a sequence of image frames. The method also includes determining a grayscale threshold based on characteristics of the first image frame to identify gray pixel candidates in the first image frame. The method further includes adjusting a pixel value of each pixel in the first image frame based on a chromatic adaptation transform estimation. The chromatic adaptation transform estimation is based on the gray pixel candidates. The grayscale threshold may be computed for each image frame in the sequence of image frames.

Abstract: An electronic device is described. The electronic device includes a processor. The processor is configured to obtain images from a plurality of cameras. The processor is also configured to project each image to a respective 3-dimensional (3D) shape for each camera. The processor is further configured to generate a combined view from the images.

Abstract: A method for generating one or more two-dimensional texture maps of an object includes receiving an image frame that includes at least a portion of the object from an image capture device. The method also includes determining, at a processor, a color of a particular portion of the object using the image frame and determining a material of the particular portion of the object using the image frame. The method further includes determining at least one other property of the particular portion of the object based on the material. The method also includes generating a pixel value representative of the color of the particular portion of the object and representative of the at least one other property of the particular portion of the object. The method also includes generating at least one two-dimensional texture map based on the pixel value.

Abstract: Provided are systems, methods, and computer-readable medium for including parameters that describe fisheye images in a 360-degree video with the 360-degree video. The 360-degree video can then be stored and/or transmitted as captured by the omnidirectional camera, without transforming the fisheye images into some other format. The parameters can later be used to map the fisheye images to an intermediate format, such as an equirectangular format. The intermediate format can be used to store, transmit, and/or display the 360-degree video. The parameters can alternatively or additionally be used to map the fisheye images directly to a format that can be displayed in a 360-degree video presentation, such as a spherical format.

Abstract: Examples are described for overlaying circular images onto a three-dimensional mesh model to generated respective portions of image content for 360-degree viewable content, where each of the portions is a sub-capsule that is larger than half of the sphere. The portions are rendered and then blended based on overlapping portions of the image content from the 360-degree viewable content.

Abstract: Examples are described for overlaying primitives, arranged as concentric circles, in circular images onto respective mesh models to generate rectangular images representative of a 360-degree video or image. Portions of the rectangular images are blended to generate a stitched rectangular image, and image content for display is generated based on the stitched rectangular image.

Abstract: A method performed by an electronic device is described. The method includes obtaining a combined image. The combined image includes a combination of images captured from one or more image sensors. The method also includes obtaining depth information. The depth information is based on a distance measurement between a depth sensor and at least one object in the combined image. The method further includes adjusting a combined image visualization based on the depth information.

Abstract: An electronic device is described. The electronic device includes a processor. The processor is configured to obtain images from a plurality of cameras. The processor is also configured to project each image to a respective 3-dimensional (3D) shape for each camera. The processor is further configured to generate a combined view from the images.

Abstract: A method for adjusting pixel colors between image frames includes scanning, at a processor, a first image frame of a sequence of image frames. The method also includes determining a grayscale threshold based on characteristics of the first image frame to identify gray pixel candidates in the first image frame. The method further includes adjusting a pixel value of each pixel in the first image frame based on a chromatic adaptation transform estimation. The chromatic adaptation transform estimation is based on the gray pixel candidates. The grayscale threshold may be computed for each image frame in the sequence of image frames.

Abstract: A method for determining a pixel value of a texture pixel associated with a three-dimensional scan of an object includes prioritizing a sequence of image frames in a queue based on one or more prioritization parameters. The method also includes selecting a first image frame from the queue. The method also includes determining a pixel value of the particular texture pixel in the first image frame. The method further includes selecting a second image frame from the queue. The second image frame has a higher priority than the first image frame based on the one or more prioritization parameters. The method also includes modifying the pixel value of the particular texture pixel based on a pixel value of the particular texture pixel in the second image frame to generate a modified pixel value of the particular texture pixel.

Abstract: A method for texture reconstruction associated with a three-dimensional scan of an object includes scanning, at a processor, a sequence of image frames captured by an image capture device at different three-dimensional viewpoints. The method also includes generating a composite confidence map based on the sequence of image frames. The composite confidence map includes pixel values for scanned pixels in the sequence of image frames. The method further includes identifying one or more holes of a three-dimensional model based on the composite confidence map.

Abstract: Techniques are described for generating autostereoscopy content. A graphics processing unit (GPU) may determine from which views to retrieve pixel data, and may read the pixel data from corresponding images of only the determined views. In this manner, the techniques may promote efficiency in the generation of autostereoscopy content.