Abstract: Various embodiments provide methods and systems for detecting one or more segments of an image that are related to a particular object in the image (e.g., a logo or trademark) and extracting at least one feature point, each of which is represented by one feature point descriptor, based at least upon a contour curvature of the one or more segments. The at least one feature point descriptor can be converted into one or more codewords to generate a codeword database. A discriminative codebook can then be generated based upon the codeword database and utilized to detect objects and/or features in a query image.

Abstract: Various approaches discussed herein enable providing a virtual reality experience of trying on clothes by augmenting an image of an article of clothing so that it appears to be worn by a particular person who is represented in a separate image. The image of the person wearing a special article of clothing containing a number of gridlines is analyzed along with an image of the special article of clothing as it appears unworn. The analysis includes calculating differences in the images to determine a change in the position of the gridlines between the images, then used to generate body shape data. The body shape data is used to augment an image of a prospective article of clothing, which modified image is then combined with the image of the person wearing a special article of clothing and displayed.

Abstract: The subject technology provides embodiments for performing fast corner detection in a given image for augmented reality applications. Embodiments disclose a high-speed test that examines intensities of pairs of pixels around a candidate center pixel. In one example, the examined pairs are comprised of pixels that are diametrically opposite ends of a circle formed with the candidate center pixel. Further, a pyramid of images including four rings of surrounding pixels is generated. An orientation of the pixels from the four rings are determined and a vector of discrete values of the pixels are provided. Next, a forest of trees are generated for the vector of discrete values corresponding to a descriptor for a first image. For a second image including a set of descriptors, approximate nearest neighbors are determined from the forest of tree representing closest matching descriptors from the first image.

Abstract: Systems and methods for displaying an image of a virtual object in an environment are described. A computing device is used to capture an image of a real environment including a marker. One or more virtual objects which do not exist in the real environment are displayed in the image based at least on the marker. The distance and orientation of the marker may be taken into account to properly size and place the virtual object in the image. Further, virtual lighting may be added to an image to indicate to a user how the virtual object would appear with the virtual lighting.

Abstract: The subject technology provides embodiments for performing fast corner detection in a given image for augmented reality applications. Embodiments disclose a high-speed test that examines intensities of pairs of pixels around a candidate center pixel. In one example, the examined pairs are comprised of pixels that are diametrically opposite ends of a circle formed with the candidate center pixel. Further, a pyramid of images including four rings of surrounding pixels is generated. An orientation of the pixels from the four rings are determined and a vector of discrete values of the pixels are provided. Next, a forest of trees are generated for the vector of discrete values corresponding to a descriptor for a first image. For a second image including a set of descriptors, approximate nearest neighbors are determined from the forest of tree representing closest matching descriptors from the first image.

Abstract: Methods, systems and computer program products for automatic color correction of image and video content are provided. A computer-implemented method may include generating an auto-level linear transform and a histogram equalization transform of a color distribution histogram for an original image among a set of sequential images. The auto-level linear transform and the histogram equalization transform are blended to create a modified image. Pixel color is adjusted in the modified image so that a color difference between a pixel and neighboring pixels in the modified image corresponds to a color difference between respective pixels in the original image.

Abstract: Various embodiments provide methods and systems for users and business owners to share content and/or links to visual elements of a place at a physical location, and, in response to a user device pointing at a tagged place, causing the content and/or links to the visual elements of the place to be presented on the user device. In some embodiments, content and links are tied to specific objects at a place based at least in part upon one of Global Positioning System (GPS) locations, Inertial Measurement Unit (IMU) orientations, compass data, or one or more visual matching algorithms. Once the content and links are attached to the specific objects of the place, they can be discovered by a user with a portable device pointing at the specific objects in the real world.

Abstract: Systems and methods for displaying an image of a virtual object in an environment are described. A computing device is used to capture an image of a real environment including a marker. One or more virtual objects which do not exist in the real environment are displayed in the image based at least on the marker. The distance and orientation of the marker may be taken into account to properly size and place the virtual object in the image. Further, virtual lighting may be added to an image to indicate to a user how the virtual object would appear with the virtual lighting.

Abstract: The subject technology provides embodiments for performing fast corner detection in a given image for augmented reality applications. Embodiments disclose a high-speed test that examines intensities of pairs of pixels around a candidate center pixel. In one example, the examined pairs are comprised of pixels that are diametrically opposite ends of a circle formed with the candidate center pixel. Further, a pyramid of images including four rings of surrounding pixels is generated. An orientation of the pixels from the four rings are determined and a vector of discrete values of the pixels are provided. Next, a forest of trees are generated for the vector of discrete values corresponding to a descriptor for a first image. For a second image including a set of descriptors, approximate nearest neighbors are determined from the forest of tree representing closest matching descriptors from the first image.

Abstract: Various embodiments provide methods and systems for users and business owners to share content and/or links to visual elements of a place at a physical location, and, in response to a user device pointing at a tagged place, causing the content and/or links to the visual elements of the place to be presented on the user device. In some embodiments, content and links are tied to specific objects at a place based at least in part upon one of Global Positioning System (GPS) locations, Inertial Measurement Unit (IMU) orientations, compass data, or one or more visual matching algorithms. Once the content and links are attached to the specific objects of the place, they can be discovered by a user with a portable device pointing at the specific objects in the real world.

Abstract: Systems and methods are provided herein relating to video classification. A trained classifier can analyze a video for suggested edits. A plurality of features of the video can be analyzed based that determines whether the video is a good candidate for various type of editing. The suggested edits can be performed automatically or with the authorization of a user who submitted the video. The user can review the edited video and either approve or reject the edits. Using an automated process to suggest and perform video edits can improve the quality of videos within a video data store.

Abstract: Methods, systems and computer program products for automatic color correction of image and video content are provided. A computer-implemented method may include generating an auto-level linear transform and a histogram equalization transform of a color distribution histogram for an original image among a set of sequential images. The auto-level linear transform and the histogram equalization transform are blended to create a modified image. Pixel color is adjusted in the modified image so that a color difference between a pixel and neighboring pixels in the modified image corresponds to a color difference between respective pixels in the original image.

Abstract: Methods, systems and computer program products for automatic color correction of image and video content are provided. A computer-implemented method may include generating an auto-level linear transform and a histogram equalization transform of a color distribution histogram for an original image among a set of sequential images. The auto-level linear transform and the histogram equalization transform are blended to create a modified image. Pixel color is adjusted in the modified image so that a color difference between a pixel and neighboring pixels in the modified image corresponds to a color difference between respective pixels in the original image.

Abstract: Systems and methods are provided herein relating to video classification. A trained classifier can analyze a video for suggested edits. A plurality of features of the video can be analyzed based that determines whether the video is a good candidate for various type of editing. The suggested edits can be performed automatically or with the authorization of a user who submitted the video. The user can review the edited video and either approve or reject the edits. Using an automated process to suggest and perform video edits can improve the quality of videos within a video data store.