Abstract: Images may be captured from a plurality of cameras of an object moving along a path. Each of the cameras may be positioned at a respective identified location in three-dimensional space. Correspondence information for the plurality of images linking locations on different ones of the images may be determined. Linked locations may correspond to similar portions of the object captured by the cameras. A portion of the plurality of images may be presented on a display screen via a graphical user interface. The plurality of images may be grouped based on the correspondence information.

Abstract: According to various embodiments, techniques and mechanisms are provided to enhance camera positioning in vehicle tunnels. Tunnel configuration along with lighting pattern panel damage information is analyzed with a proposed camera configuration. The camera configuration information may include camera location, camera angle, focal length, resolution, etc. The effectiveness of image capture for a variety of vehicle components is analyzed to generate a camera configuration score to allow for feedback and revision of camera setup and positioning.

Abstract: According to various embodiments, techniques and mechanisms are provided to enhance damage detection in vehicle tunnels. In some implementations, a semicylindrical striped lighting tunnel is configured with cameras for capture of object or vehicle surface images when illuminated by striped lighting. The vehicle surface images may be captured from a variety of perspectives. The semicylindrical structure reduces edges and corners which can interfere with the generation of improved vehicle surface images illuminated with striped lighting. The vehicle surface images illuminated by striped lighting can be analyzed potentially with a vehicle object model. Damage may be determined using striped lighting illuminated vehicle surface images to identify the type, likelihood, and extent of damage.

Abstract: According to various embodiments, techniques and mechanisms are provided to enhance damage detection for objects such as vehicles in vehicle tunnels. In some implementations, a striped lighting tunnel is configured with cameras for capture of object or vehicle surface images when illuminated by striped lighting in a vehicle tunnel. Multiple vehicle surface images may be captured from a variety of perspectives. The vehicle surface images illuminated by striped lighting can be analyzed potentially with a vehicle object model. Each vehicle object model may include numerous object model components. Damage may be determined using striped lighting illuminated vehicle surface images to identify the type, likelihood, and extent of damage.

Abstract: Images may be captured from a plurality of cameras of an object moving along a path. Each of the cameras may be positioned at a respective identified location in three-dimensional space. Correspondence information for the plurality of images linking locations on different ones of the images may be determined. Linked locations may correspond to similar portions of the object captured by the cameras. A portion of the plurality of images may be presented on a display screen via a graphical user interface. The plurality of images may be grouped based on the correspondence information.

Abstract: A three-dimensional representation of a scene captured in an action shot base video may be determined. The three-dimensional representation may identify a camera pose. A representation of an object may be determined from a multi-view representation of the object that includes images of the object and that is navigable in one or more dimensions. An action shot video of the scene that includes a rendering of the object determined based on the representation and the camera pose may be generated.

Abstract: Images may be captured from a plurality of cameras of an object moving along a path. Each of the cameras may be positioned at a respective identified location in three-dimensional space. Correspondence information for the plurality of images linking locations on different ones of the images may be determined. Linked locations may correspond to similar portions of the object captured by the cameras. A portion of the plurality of images may be presented on a display screen via a graphical user interface. The plurality of images may be grouped based on the correspondence information.

Abstract: A three-dimensional representation of a scene captured in an action shot base video may be determined. The three-dimensional representation may identify a camera pose. A representation of an object may be determined from a multi-view representation of the object that includes images of the object and that is navigable in one or more dimensions. An action shot video of the scene that includes a rendering of the object determined based on the representation and the camera pose may be generated.