Images of an undercarriage of a vehicle may be captured via one or more cameras. A point cloud may be determined based on the images. The point cloud may includes points positioned in a virtual three-dimensional space. A stitched image may be determined based on the point cloud by projecting the point cloud onto a virtual camera view. The stitched image may be stored on a storage device

Disclosed herein is a web-based videoconference system that allows for video avatars to navigate within a virtual environment. Various methods for efficient modeling, rendering, and shading are disclosed herein.

This information processing apparatus includes an image processing unit that detects a position of a light source in image data captured by an imaging apparatus and estimates an unnecessary light generation position in the image data on the basis of the detected position of the light source. The image processing unit detects, with respect to a plurality of pieces of image data respectively captured by a plurality of imaging apparatuses having partially common fields of view, positions of light sources and estimates unnecessary light generation positions on the basis of the detected positions of the light sources and combines pieces of image data of common field-of-view portions respectively captured by the plurality of imaging apparatuses and generates image data of the unnecessary light generation position with unnecessary light removed or reduced.

There is provided an image generation device, an image generation method, and a program capable of observing any point on the ground from a free viewpoint in the sky at any time. The image generation device includes an image generation unit that generates a free viewpoint image of a predetermined point on the ground viewed from a predetermined virtual viewpoint in the sky using a 3D model of a stationary subject generated using a satellite image captured by an artificial satellite and dynamic subject identification information that identifies a dynamic subject. The present technology can be applied to, for example, an image generation device and the like that generate a free viewpoint image from a satellite image captured by an artificial satellite.

A method of recognizing a text, which relates to a field of an artificial intelligence technology, in particular to a field of computer vision and deep learning technology, and may be applied to optical character recognition or other applications. The method includes: acquiring a plurality of image sequences by continuously scanning a document; performing an image stitching, so as to obtain a plurality of successive frames of stitched images corresponding to the plurality of image sequences respectively, an overlapping region exists between each two successive frames of stitched images; performing a text recognition based on the plurality of successive frames of stitched images, so as to obtain a plurality of corresponding recognition results; and performing a de-duplication on the plurality of recognition results based on the overlapping region between each two successive frames of stitched images, so as to obtain a text recognition result for the document.

A method includes obtaining a fisheye image of a scene and identifying multiple regions of interest in the fisheye image. The method also includes applying one or more transformations to transform and rotate one or more of the regions of interest in the fisheye image to produce one or more transformed regions. The method further includes generating a collage image having at least one portion based on the fisheye image and one or more portions containing the one or more transformed regions. In addition, the method includes performing object detection to identify one or more objects captured in the collage image.

One embodiment of an apparatus includes a reference position receiving unit configured to receive intermediate or end panorama reference position information input by a user, and a control unit configured to control an imaging device to begin generating a plurality of images to be used to generate a panoramic image based on the intermediate or end panorama reference position information input by the user after the reference position receiving unit receives the intermediate or end panorama reference position information.

Aspects of the disclosure relate to deploying and utilizing a dynamic data stenciling system with a smart linking engine. A computing platform may receive source data from one or more data source systems. Subsequently, the computing platform may identify a target application hosted by an enterprise application host platform as being an intended recipient of a portion of the source data. Then, the computing platform may select a dynamic data stencil from a plurality of available data stencils. Thereafter, the computing platform may overlay the portion of the source data onto the target application using the dynamic data stencil. In addition, by overlaying the portion of the source data onto the target application using the dynamic data stencil, the computing platform may cause the target application to execute one or more data processing functions using the portion of the source data received from the one or more data source systems.

Provided is an information processing system including: a feature information accepting unit that, by causing a user to specify a position in a feature map in which a plurality of feature images indicating features to be displayed are arranged, accepts entry of feature information associated with the position in the feature map; an image acquisition unit that acquires an image used for display based on the feature information; and a display information generation unit that generates display information used for causing a display device to display the image used for display.

An electronic apparatus is disclosed. The electronic apparatus comprises: a first camera having a first image capturing angle; a second camera having a second image capturing angle larger than the first image capturing angle; and a processor which when a portion of a target object is identified and an obstacle object overlapping the other portion of the target object is identified from at least one of a first captured image acquired from the first camera and a second captured image acquired from the second camera, acquires location information of the identified obstacle object, identifies a region of interest in the second captured image on the basis of the acquired location information of the obstacle object, and identifies the other portion of the target object on the basis of the region of interest in the second captured image.