A stereo camera device includes a plurality of cameras, a distance sensor configured to detect a distance to an object, a holder configured to hold the plurality of cameras and the distance sensor so that the optical axis of the distance sensor and the optical axes of the plurality of cameras are in the same direction, an electronic circuit, and a case in which the plurality of cameras and the distance sensor held by the holder, and the electronic circuit are provided.

A camera system. In some embodiments, the camera system includes a first laser, a camera, and a processing circuit connected to the first laser and to the camera. The first laser may be steerable, and the camera may include a pixel including a photodetector and a pixel circuit, the pixel circuit including a first time-measuring circuit.

A volume of contents in a container of a work vehicle can be estimated in various examples. One example involves a system with a 3D sensor on a work vehicle, where the sensor captures images of a material in a container of the work vehicle. A processor device that is in communication with the 3D sensor determines a volume of the material in the container using the images.

A volume of contents in a container of a work vehicle can be estimated in various examples. One example involves a system with a 3D sensor on a work vehicle, where the sensor captures images of a material in a container of the work vehicle. A processor device that is in communication with the 3D sensor determines a volume of the material in the container using the images.

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.

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.

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.

Systems, devices, media, and methods are described for capturing a series of raw images by portable electronic devices, such as wearable devices including eyewear, and automating the process of processing such raw images by a client mobile device, such as a smart phone, such automation including the process of uploading to a network and directing to a target audience. In some implementations, a user selects profile settings on the client device before capturing images on the companion device, so that when the companion device has captured the images, the system follows the profile settings upon automatically processing the images captured by the companion device.

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.