Provided are a method and an apparatus for recognizing a tire by using an image of a tire captured by using a terminal. The apparatus recognizes a tire by converting an image of a round tire included in the image into a linear image, extracting an area of a character to be recognized from the linear image, and determining a character for learning, which is most similar to the extracted area of the character to be recognized from among a pre-constructed group of characters for learning, as a character in the area of the character to be recognized.

Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image.

A system includes a processor configured to obtain an image of a vehicle plate. The processor is also configured to determine identification characters present in the image. The processor is further configured to compare the identification characters to a list of sought-vehicle plates and report a match between the identification characters and a plate on the list of sought-vehicle plates.

A multi-camera imager (MCI) configured to register a first image of a scene acquired by a first camera comprised in the MCI to a second image of the same scene acquired by a second camera in the MCI based on adjusting a transform configured to register images of a calibration target acquired by the first and second cameras for a same fixed position and orientation of the calibration target using epipolar line segments in one of the cameras associated with image plane coordinates in the other of the cameras.

A vehicle occupant viewing system and a corresponding method for displaying a vehicle occupant on an image display unit. The system may comprise one or more vehicle interior cameras for obtaining occupant images of one or more occupants in rear seats of the vehicle. The system may include two vehicle interior cameras, one in a forward facing orientation and another in a rear facing orientation, which can capture occupant images of occupants in forward facing positions and occupants in rear facing positions such as infants in car seats. The system may also include one or more modular vehicle interior cameras that are moveable between various orientations in order to capture occupant images of either forward or rear facing passengers. Adjustments can be made to display the occupant images to the driver in a more intuitive arrangement.

The present invention relates to a method and a module for a multimodal text input in a mobile device (1) via a keyboard or in a camera mode by holding the camera of the mobile device (1) over a written text, such that an image is taken of the written text and the written text is recognized, wherein the input text is output to an application requesting the input text, the method comprising the following steps: a) activating a keyboard mode; b) providing an A-Z-keyboard in a first field (4) for text input; c) activating the camera mode; d) capturing the image of the written text and displaying the captured image with the written text in a second field (5) of a display (2) of the mobile device (1); e) converting the captured image to character text by optical character recognition (OCR) and displaying the recognized character text on the display (2); outputting a selected character as the input text to the application upon a selection of the character on the A-Z-keyboard, or outputting a selected part of the recognized character text as the input text to the application upon a selection of the part of the recognized character text; wherein the respective selection takes place by a single keypress or control command, or by a single gesture.

A mark information recording apparatus includes an output unit and a recording unit. The output unit is configured to output, for displaying a partial image being a part of an entire image having an arbitrary resolution among entire images generated at a plurality of different resolutions with respect to a single target, the partial image. The recording unit is configured to associate mark information with information on a position within the entire image and information on the resolution of the output partial image and record the mark information.

Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.

A method and device for determining a boundary associated with image data captured by an electronic device is provided. The electronic device may include a camera. In one aspect, a method includes: capturing the image data using the camera; based on the captured image data, detecting a boundary marker displayed by a display device, the boundary marker is periodically displayed to be undetectable by a human eye that is viewing the display device; and modifying, based on the boundary marker, image data captured by the camera.

A method of calculating at least one dimension of a towed vehicle includes sensing an image of the towed vehicle with an image sensing device. A feature on the towed vehicle in the sensed image of the towed vehicle is identified with a controller using a dimension determination algorithm. The dimension of the towed vehicle is determined from the identified feature of the towed vehicle, with the controller using the dimension determination algorithm. The dimension of the towed vehicle may be input into a vehicle tow controller, to enable the vehicle tow controller to control the tow vehicle.