An abnormality in an imaging apparatus configured to generate an image or in an optical member located on an optical path for capturing the image can be accurately determined, irrespective of the environment. An image processing apparatus includes a first receiver configured to receive a first image, a second receiver configured to receive a second image having an imaging range that includes at least a portion of an imaging range of the first image, and a controller configured to determine an abnormality in the first image or the second image based on a common portion in the imaging ranges of the first image and the second image.

A driver monitor includes a processor configured to detect the orientation and the position of the face of a driver of a vehicle from each of face images obtained by a camera for capturing the driver, update a reference direction of orientations or a reference position of the driver's face, based on orientations or positions of the driver's face detected from face images obtained in a preceding predetermined period, and detect putting a wearable object on or taking a wearable object off the driver's face in each face image. Upon detection of putting on or taking off the wearable object, the processor updates the reference direction or the reference position, based on only orientations or positions of the driver's face detected from face images obtained after the detection.

Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

A method for monitoring occupants of a vehicle comprises identifying a respective body region for one or more occupants of the vehicle within an obtained image; identifying within the body regions, skeletal points including points on an arm of a body; identifying one or more hand regions; and determining a hand region to be either a left or a right hand of an occupant in accordance with its spatial relationship with identified skeletal points of the body region of an occupant. The left or right hand region for the occupant are provided to a pair of classifiers to provide an activity classification for the occupant, a first classifier being trained with images of hands of occupants in states where objects involved are not visible and a second classifier being trained with images of occupants in the states where the objects are visible in at least one hand region.

The disclosure relates to a motor vehicle that loads a motor vehicle movement dataset (KBD) indicative of accelerations of the motor vehicle, loads a passenger movement dataset (PBD) indicative of movements of a passenger of the motor vehicle, evaluate the motor vehicle movement dataset (KBD) and the passenger movement dataset (PBD) by means of a transfer function with a predetermined threshold value (SW) in order to generate an image dataset (BS) for an infotainment system of the motor vehicle, and outputs the image dataset (BS) by means of the infotainment system.

A vehicle includes a first sensor for sensing a first image, a second sensor for sensing a second image, and a processor that is configured to generate seating information of a passenger based on the first image, and generate posture information of the passenger with the generated seating information based on at least one of the first image or the second image.

A method for generating a facial animation from a single image is provided. The method is mainly divided into four steps: generation of facial feature points in an image, global two-dimensional deformation of the image, optimization of details of a facial area, and generation of texture of an oral cavity area. The present disclosure can generate a facial animation in real time according to a change of the facial feature points, and the animation quality reaches a level of current state-of-art facial image animation technology. The present disclosure can be used in a series of applications, such as facial image editing, portrait animation generation based on a single image, and facial expression editing in videos.

A vehicle includes a driver sensor provided inside the vehicle and configured to obtain a face image of a driver; a side camera configured to obtain images of a rear left side and a rear right side of the vehicle; a display configured to output the images of the rear left side and the rear right side of the vehicle; and a controller electrically connected to the driver sensor, the side camera, and the display; wherein the controller is configured to identify a gaze direction of the driver based on the face image of the driver, and adjust at least one of a frame rate of the side camera or a screen brightness of the display based on the gaze direction of the driver.

An electronic device configured to charge an occupant in a vehicle. The electronic device includes: an interface unit configured to exchange signals with at least one internal camera configured to capture at least one image of an inside of a cabin of the vehicle; at least one processor; and at least one computer memory that is operably connectable to the at least one processor and that has stored thereon instructions which, when executed, cause the at least one processor to perform operations including: receiving, through the interface unit, image data that was generated based on processing the at least one image of the inside of the cabin captured by the at least one internal camera; and generating cost charging data based on a motion of a user detected from the received image data.

A method for calibrating a vehicle cabin camera having: a pitch, yaw and roll angle; and a field of view capturing vehicle cabin features which are symmetric about a vehicle longitudinal axis comprises: selecting points from within an image of the vehicle cabin and projecting the points onto a 3D unit circle in accordance with a camera projection model. For each of one or more rotations of a set of candidate yaw and roll rotations, the method comprises: rotating the projected points with the rotation; flipping the rotated points about a pitch axis; counter-rotating the projected points with an inverse of the rotation; and mapping the counter-rotated points back into an image plane to provide a set of transformed points. A candidate rotation which provides a best match between the set of transformed points and the locations of the selected points in the image plane is selected.