A method for determining an apparent colour value of pixels corresponding to a subpart of an object in the acquired image, including: estimating a geometric distortion model of the object in the acquired image compared with a reference model of the object; determining a position in the acquired image of the subpart and determining a zone of the acquired image, referred to as the reference zone, situated in a predetermined vicinity of the subpart, each pixel of the reference zone resulting from a projection in the acquired image of a zone of the reference model, referred to as a blank zone, the blank zone being associated with a predetermined colour value in the reference model, the projection using the geometric distortion model; and determining an apparent colour value of the pixels of the subpart, from a colour value of at least one pixel of the reference zone.

The present technology relates to an information processing apparatus, an information processing method, a program, a mobile-object control apparatus, and a mobile object that make it possible to improve the accuracy in recognizing a target object.

An information processing apparatus includes a geometric transformation section that transforms at least one of a captured image or a sensor image to match coordinate systems of the captured image and the sensor image, the captured image being obtained by an image sensor, the sensor image indicating a sensing result of a sensor of which a sensing range at least partially overlaps a sensing range of the image sensor; and an object recognition section that performs processing of recognizing a target object on the basis of the captured image and sensor image of which the coordinate systems have been matched to each other. The present technology is applicable to, for example, a system used to recognize a target object around a vehicle.

A method of processing image data of an electronic device is provided. The method includes dividing the image data into at least one segment corresponding to a feature of at least part of the image data, determining a category corresponding to the at least one segment, and displaying the at least one segment in a converted form based on the category.

A method and apparatus for recognizing an imaged information-bearing medium, a computer-readable storage device and a computer device are provided. The method comprising: acquiring a first image of the imaged information-bearing medium; performing text recognition on the first image to acquire a text content of the imaged information-bearing medium; classifying the imaged information-bearing medium to acquire a type of the imaged information-bearing medium; and archiving the text content according to the type.

One example provides a system. The system receives ate infrared image and processes the infrared image to detect lines in the infrared image. The system receives a color image corresponding to the infrared image and processes the color image to detect lines in the color image. The detected lines in the infrared image and the detected lines in the color image are combined. A document region is detected from the combined detected lines.

A projection system and a method for correcting projection image are provided. The projection system includes a projection target, a projection apparatus and an image capturing device. The projection target includes a reference pattern, and receives an image beam to display a projection image in collaboration with the image beam. The projection apparatus projects the image beam to the projection target. The image capturing device captures a captured image having the projection image, and outputs the captured image to the projection apparatus. The projection apparatus adjusts a projection parameter of the image beam according to the projection image in the captured image. Based on the adjusted projection parameter, the corrected projection image displayed by the image beam corresponds to the reference pattern.

A video processing method and a video processing system are provided. The video processing method is applied to a rotary video capturing device. The video processing method includes the following steps. First, at least one video frame corresponding to at least one piece of field-of-view (FOV) information is received, and a plurality of first coordinates corresponding to a plurality of first pixels of the at least one video frame is obtained. Coordinate transformation procedure is performed on the first coordinates according to the at least one piece of FOV information to obtain a plurality of second coordinates. A plurality of second pixels in a panoramic background image corresponding to the second coordinates is obtained. The first pixels are compared with the second pixels to determine whether the first pixels belong to a foreground or a background, to output comparison results.

Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image.

An approaching-object detection system detects an approaching object based on images captured by an imaging device. The approaching-object detection system comprises an extraction unit, a distortion correction unit, an object detection unit, and an approaching-object classification unit. The extraction unit extracts a partial image of one far side and a partial image of the other far side from each of the images. The distortion correction unit corrects distortion of the partial images. The object detection unit detects an object from the corrected partial images through pattern matching with reference to preinstalled image information on the object. The approaching-object classification unit classifies the detection result of the object detection unit as an approaching object or not.

A method for image processing is provided comprising: detecting a rectangular image region (RIR) in one of a plurality of images while the plurality of images is being received; obtaining a coordinate corresponding to the detected RIR; and storing in a memory the coordinate and a link associating the coordinate with the image in which the RIR is detected.