Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. According to particular embodiments, the spatial relationship between multiple images and video is analyzed together with location information data, for purposes of creating a representation referred to herein as a surround view for presentation on a device. A visual guide can provided for capturing the multiple images used in the surround view. The visual guide can be a synthetic object that is rendered in real-time into the images output to a display of an image capture device. The visual guide can help user keep the image capture device moving along a desired trajectory.

Abstract: Reference images of an object may be mapped to an object model to create a reference object model representation. Evaluation images of the object may also be mapped to the object model via the processor to create an evaluation object model representation. Object condition information may be determined by comparing the reference object model representation with the evaluation object model representation. The object condition information may indicate one or more differences between the reference object model representation and the evaluation object model representation. A graphical representation of the object model that includes the object condition information may be displayed on a display screen.

Abstract: Various embodiments of the present disclosure relate generally to systems and methods for drone-based systems and methods for capturing a multi-media representation of an entity. In some embodiments, the multi-media representation is digital, or multi-view, or interactive, and/or the combinations thereof. According to particular embodiments, a drone having a camera is controlled or operated to obtain a plurality of images having location information. The plurality of images, including at least a portion of overlapping subject matter, are fused to form multi-view interactive digital media representations.

Abstract: A sampling density for capturing a plurality of two-dimensional images of a three-dimensional scene may be determined. The sampling density may be below the Nyquist rate. However, the sampling density may be sufficiently high such that captured images may be promoted to multiplane images and used to generate novel viewpoints in a light field reconstruction framework. Recording guidance may be provided at a display screen on a mobile computing device based on the determined sampling density. The recording guidance identifying a plurality of camera poses at which to position a camera to capture images of the three-dimensional scene. A plurality of images captured via the camera based on the recording guidance may be stored on a storage device.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. After the MVIDMR of the object is generated, a tag can be placed at a location on the object in the MVIDMR. The locations of the tag in the frames of the MVIDMR can vary from frame to frame as the view of the object changes. When the tag is selected, media content can be output which shows details of the object at location where the tag is placed. In one embodiment, the object can be car and tags can be used to link to media content showing details of the car at the locations where the tags are placed.

Abstract: Pixels in a visual representation of an object that includes one or more perspective view images may be mapped to a standard view of the object. Based on the mapping, a portion of the object captured in the visual representation of the object may be identified. A user interface on a display device may indicate the identified object portion.

Abstract: A segmentation of an object depicted in a first visual representation may be determined. The segmentation may include for each image a first respective image portion that includes the object, a second respective image portion that includes a respective ground area located beneath the object, and a third respective image portion that includes a background area located above the second respective portion and behind the object. A second visual representation may be constructed that includes the first respective image portion and a target background image portion that replaces the third respective image portion and that is selected from a target background image based on an area of the third respective image portion relative to the respective image.

Abstract: A plurality of images may be analyzed to determine an object model. The object model may have a plurality of components, and each of the images may correspond with one or more of the components. Component condition information may be determined for one or more of the components based on the images. The component condition information may indicate damage incurred by the object portion corresponding with the component.

Abstract: Inventory at a remote location may be verified by transmitting a security key associated with uniquely identifying object identification information from a verification server to a client machine at the remote location. The security key may then be used to generate a multi-view interactive digital media representation (MVIDMR) of the object that includes a plurality of images captured from different viewpoints. The MVIDMR may then be transmitted to the verification server.

Abstract: An estimated camera pose may be determined for each of a plurality of single plane images of a designated three-dimensional scene. The sampling density of the single plane images may be below the Nyquist rate. However, the sampling density of the single plane images may be sufficiently high such that the single plane images is sufficiently high such that they may be promoted to multiplane images and used to generate novel viewpoints in a light field reconstruction framework. Scene depth information identifying for each of a respective plurality of pixels in the single plane image a respective depth value may be determined for each single plane image. A respective multiplane image including a respective plurality of depth planes may be determined for each single plane image. Each of the depth planes may include a respective plurality of pixels from the respective single plane image.

Abstract: A respective target viewpoint may be rendered for each of a plurality of multiplane images of a three-dimensional scene. Each of the multiplane images may be associated with a respective single plane image of the three-dimensional scene captured from a respective viewpoint. Each of the multiplane images may include a respective plurality of depth planes. Each of the depth planes may include a respective plurality of pixels from the respective single plane image. Each of the pixels in the depth plane may be positioned at approximately the same distance from the respective viewpoint. A weighted combination of the target viewpoint renderings may be determined, where the sampling density of the single plane images is sufficiently high that the weighted combination satisfies the inequality in Equation (7). The weighted combination of the target viewpoint renderings may be transmitted as a novel viewpoint image.

Abstract: Images of an object may be analyzed to determine individual damage maps of the object. Each damage map may represent damage to an object depicted in one of the images. The damage may be represented in a standard view of the object. An aggregated damage map for the object may be determined based on the individual damage maps.

Abstract: Provided are mechanisms and processes for performing live filtering in a camera view via client-server communication. In one example, a first video frame in a raw video stream is transmitted from a client device to a server. The client device receives a filter processing message associated with the first video frame that includes filter data for applying a filter to the first video frame. A processor at the client device creates a filtered video stream by applying the filter to a second video frame that occurs in the video stream later than the first video frame.

Abstract: Systems and methods for automatic generation of artificial motion blur are provided. The method includes obtaining a sequence of images of an object captured along a camera translation. Then, a multi-view interactive digital media representation (MIDMR) of the object is generated. Generating the MIDMR includes segmenting the object and then adding a blur effect to all parts of the MIDMR except for the segmented object.

Abstract: Various embodiments of the present invention relate generally to systems and methods for analyzing and manipulating images and video. In particular, a multi-view interactive digital media representation (MVIDMR) of a person can be generated from live images of a person captured from a hand-held camera. Using the image data from the live images, a skeleton of the person and a boundary between the person and a background can be determined from different viewing angles and across multiple images. Using the skeleton and the boundary data, effects can be added to the person, such as wings. The effects can change from image to image to account for the different viewing angles of the person captured in each image.

Abstract: Various embodiments of the present disclosure relate generally to systems and methods for automatic tagging of objects on a multi-view interactive digital media representation of a dynamic entity. According to particular embodiments, the spatial relationship between multiple images and video is analyzed together with location information data, for purposes of creating a representation referred to herein as a multi-view interactive digital media representation for presentation on a device. Multi-view interactive digital media representations correspond to multi-view interactive digital media representations of the dynamic objects in backgrounds. A first multi-view interactive digital media representation of a dynamic object is obtained. Next, the dynamic object is tagged. Then, a second multi-view interactive digital media representation of the dynamic object is generated. Finally, the dynamic object in the second multi-view interactive digital media representation is automatically identified and tagged.

Abstract: This present disclosure relates to systems and processes for interpolating images of an object from a multi-directional structured image array. In particular embodiments, a plurality of images corresponding to a light field is obtained using a camera. Each image contains at least a portion of overlapping subject matter with another image. First, second, and third images are determined, which are the closest three images in the plurality of images to a desired image location in the light field. A first set of candidate transformations is identified between the first and second images, and a second set of candidate transformations is identified between the first and third images. For each pixel location in the desired image location, first and second best pixel values are calculated using the first and second set of candidate transformations, respectively, and the first and second best pixel values are blended to form an interpolated pixel.

Abstract: Pixels in a visual representation of an object that includes one or more perspective view images may be mapped to a standard view of the object. Based on the mapping, a portion of the object captured in the visual representation of the object may be identified. A user interface on a display device may indicate the identified object portion.

Abstract: This present disclosure relates to systems and processes for capturing an unstructured light field in a plurality of images. In particular embodiments, a plurality of keypoints are identified on a first keyframe in a plurality of captured images. A first convex hull is computed from all keypoints in the first keyframe and merged with previous convex hulls corresponding to previous keyframes to form a convex hull union. Each keypoint is tracked from the first keyframe to a second image. The second image is adjusted to compensate for camera rotation during capture, and a second convex hull is computed from all keypoints in the second image. If the overlapping region between the second convex hull and the convex hull union is equal to, or less than, a predetermined size, the second image is designated as a new keyframe, and the convex hull union is augmented with the second convex hull.

Abstract: Described are systems and processes for generating multi-view interactive digital media representations (MIDMR) for display on a user device. In one aspect, a mobile device is provided which comprises a display, one or more processors, memory, and one or more programs stored in memory. The one or more programs comprise instructions for locking the mobile device, and providing a lock screen on the display in a lock mode upon receiving user input for accessing the mobile device. The lock screen may display a dynamic MIDMR that dynamically changes without user input, which provides an interactive three-dimensional representation of an object that is responsive to user interaction with the mobile device. The dynamic MIDMR displayed is selected based on predetermined criteria, and may change based on a predetermined algorithm that includes weighted predetermined criteria factors as variables and recalculates the algorithm value to determine changes to the dynamic MIDMR.