A smartphone may be freely moved in three dimensions as it captures a stream of images of an object. Multiple image frames may be captured in different orientations and distances from the object and combined into a composite image representing an three-dimensional image of the object. The image frames may be formed into the composite image based on representing features of each image frame as a set of points in a three dimensional depth map. Coordinates of the points in the depth map may be estimated with a level of certainty. The level of certainty may be used to determine which points are included in the composite image. The selected points may be smoothed and a mesh model may be formed by creating a convex hull of the selected points. The mesh model and associated texture information may be used to render a three-dimensional representation of the object on a two-dimensional display. Additional techniques include processing and formatting of the three-dimensional representation data to be printed by a three-dimensional printer so a three-dimensional model of the object may be formed.

Methods, systems and computer program products (“software”) enable a virtual three-dimensional visual experience (referred to herein as “V3D”) in videoconferencing and other applications, and capturing, processing and displaying of images and image streams.

An optical imaging system to image a target object includes a light source configured to emit one or more light rays to illuminate the target object and an image detector configured to capture a three-dimensional topography image of the target object when emitted light is emitted from the target object in response to being illuminated by the light rays emitted by the light source. A fluorescence image detector captures a fluorescence image of the target object when fluorescence is emitted from the target object in response illumination by light rays emitted by the light source. A controller instructs the image detector to capture the 3D topography image and the fluorescence image detector to detect the fluorescence image of the target object intraoperatively and to co-register and simultaneously display intraoperatively the co-registered topography and fluorescence information to the user via a display.

An optical imaging system to image a target object includes a light source configured to emit one or more light rays to illuminate the target object and an image detector configured to capture a three-dimensional topography image of the target object when emitted light is emitted from the target object in response to being illuminated by the light rays emitted by the light source. A fluorescence image detector captures a fluorescence image of the target object when fluorescence is emitted from the target object in response illumination by light rays emitted by the light source. A controller instructs the image detector to capture the 3D topography image and the fluorescence image detector to detect the fluorescence image of the target object intraoperatively and to co-register and simultaneously display intraoperatively the co-registered topography and fluorescence information to the user via a display.

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

A method and corresponding system for reconstructing the surface geometry of a three-dimensional object is disclosed. The system comprises a cluster of heterogeneous sensors, including a two-dimensional high-resolution camera and a three-dimensional depth camera, and a turntable operable to rotate incrementally. In operation, the turntable is rotated to first and second positions and two-dimensional and three-dimensional data sets are obtained using the two-dimensional high-resolution camera and the three-dimensional depth camera. Corresponding features from the two-dimensional data sets are identified and used to identify the same corresponding features in the three-dimensional data sets. The three-dimensional corresponding features are used to calculate a three-dimensional homography, which is used to align the three-dimensional data sets. Following alignment, a three-dimensional mesh is generated from the aligned data sets.

A method for processing a three-dimensional (3D) image includes acquiring a frame of a color image and a frame of a depth image, and generating a frame by combining the acquired frame of the color image with the acquired frame of the depth image. The generating of the frame includes combining a line of the color image with a corresponding line of the depth image.

A method for processing a three-dimensional (3D) image includes acquiring a frame of a color image and a frame of a depth image, and generating a frame by combining the acquired frame of the color image with the acquired frame of the depth image. The generating of the frame includes combining a line of the color image with a corresponding line of the depth image.

Described herein are apparatuses, systems and methods for generating an interactive three-dimensional (“3D”) environment using virtual depth. A method comprises receiving a pre-rendered media file comprising a plurality of frames, receiving depth data related to the media file, wherein the depth data corresponds to each of the plurality of frames, creating an invisible three-dimensional (“3D”) framework of a first frame of the media file based on the corresponding depth data, and rendering a new first frame in real time to include the pre-rendered first frame, one or more virtual visible 3D objects and the invisible 3D framework.