Methods, systems, and computer readable media for generating a three-dimensional reconstruction of an object with reduced distortion are described. In some aspects, a system includes at least two image sensors, at least two projectors, and a processor. Each image sensor is configured to capture one or more images of an object. Each projector is configured to illuminate the object with an associated optical pattern and from a different perspective. The processor is configured to perform the acts of receiving, from each image sensor, for each projector, images of the object illuminated with the associated optical pattern and generating, from the received images, a three-dimensional reconstruction of the object. The three-dimensional reconstruction has reduced distortion due to the received images of the object being generated when each projector illuminates the object with an associated optical pattern from the different perspective.

A method for intelligently measuring vehicle speed based on a binocular stereo vision system includes: training a Single Shot Multibox Detector neural network to obtain a license plate recognition model; calibrating the binocular stereo vision system to acquire parameters of two cameras; detecting the license plates in the captured video frames with the license plate recognition model, locating the license plate position; performing feature point extraction and stereo matching by a feature-based matching algorithm; screening and eliminating the matching point pairs, and reserving the coordinates of the matching point pair closest to the license plate center; performing stereo measurement on the screened matching point pair to get the spatial coordinates of the position; calculating and obtaining the speed of the target vehicle. The present invention is easy to install and adjust, could simultaneously recognize multiple trained features automatically, and better suit the intelligent transportation networks and IoT (Internet of Things).

A handheld device for the image-based measurement of a remote object, comprising a housing having a front side and a rear side, a first and second camera, which are arranged having a stereo base on the rear side, for recording images of the object, an analysis unit having an algorithm for the stereophotogrammetric analysis of the images of the cameras and a display unit, which is arranged on the front side, for displaying images of the object and results of the stereophotogrammetric analysis, wherein the housing has a longitudinal axis, the stereo base is aligned diagonally relative to the longitudinal axis, and the analysis unit is designed for the purpose of taking into consideration the relative alignment of the stereo base during the stereophotogrammetric analysis.

A system, method or compute program product for generating composite images. One of the systems includes a capture device to capture an image of a physical environment; and one or more storage devices storing instructions that are operable, when executed by one or more processors of the system, to cause the one or more processors to: obtain an image of the physical environment as captured by the capture device, identify a visually-demarked region on a surface in the physical environment as depicted in the image, process the image to generate a composite image of the physical environment that includes a depiction of a virtual object, wherein a location of the depiction of the virtual object in the composite image is based on a location of the depiction of the visually-demarked region in the image, and cause the composite image to be displayed for a user.

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

Methods, systems, and computer readable media for generating a three-dimensional reconstruction of an object with reduced distortion are described. In some aspects, a system includes at least two image sensors, at least two projectors, and a processor. Each image sensor is configured to capture one or more images of an object. Each projector is configured to illuminate the object with an associated optical pattern and from a different perspective. The processor is configured to perform the acts of receiving, from each image sensor, for each projector, images of the object illuminated with the associated optical pattern and generating, from the received images, a three-dimensional reconstruction of the object. The three-dimensional reconstruction has reduced distortion due to the received images of the object being generated when each projector illuminates the object with an associated optical pattern from the different perspective.

The present invention provides an image processing apparatus comprising: a first camera obtaining a true-color image by capturing a subject; a second camera spaced apart from the first camera and obtaining an infrared image by capturing the subject; and a control unit connected to the first camera and the second camera, wherein the control unit matches the true-color image and the infrared image and obtains three-dimensional information of the subject by using the matched infrared image in a region corresponding to the matched true-color image and a valid pixel.

A system and method for estimating dimensions of an approximately cuboidal object from a 3D image of the object acquired by an image sensor of the vision system processor is provided. An identification module, associated with the vision system processor, automatically identifies a 3D region in the 3D image that contains the cuboidal object. A selection module, associated with the vision system processor, automatically selects 3D image data from the 3D image that corresponds to approximate faces or boundaries of the cuboidal object. An analysis module statistically analyzes, and generates statistics for, the selected 3D image data that correspond to approximate cuboidal object faces or boundaries. A refinement module chooses statistics that correspond to improved cuboidal dimensions from among cuboidal object length, width and height. The improved cuboidal dimensions are provided as dimensions for the object. A user interface displays a plurality of interface screens for setup and runtime operation.

A truck-mountable detection system for detection of a first coupling device of a container, in which the first coupling device is configured for coupling with a second coupling device of a truck-mounted loading equipment, in particular a hook of a hookloader. The detection system includes a data processor and an data capturing device, the data of which can be sent to the data processor. The data capturing device is a stereographic sensor system, and the data processor is configured to automatically recognize the shape of the first coupling device of the container based on the data provided by the stereographic sensor system.

A three-dimensional information reconstraction device includes a corresponding point detector that detects a plurality of corresponding point pairs to which a first feature point included in a first image captured by a first image capturing device and a second feature point included in a second image captured by a second image capturing device correspond, and a three-dimensional coordinate deriver that, based on the plurality of corresponding point pairs, reconstructs three-dimensional coordinates to which the first feature point is inverse-projected.