2149 results about "Camera image" patented technology

An upper case and a lower case are rotatably connected in a connection part. The connection part is constructed by a rotary shaft supporting part integrated in the lower case, a rotary shaft which is integrated in the upper case and a part of which is rotatably fit into the rotary shaft supporting part, and a housing member having a part rotatably fit into the rotary shaft supporting part. A video camera and a camera lens are housed in the housing member. A display/operation part is provided almost in the whole upper case and a display/operation part is provided almost in the whole lower case. In the display/operation parts and, in addition to camera images of the video camera, a reception image, and various data, touch-type operation buttons are displayed. The display/operation parts and have the functions as the operation part as well as the display part. "Recording" mode, "transmission/reception" mode, and "information acquisition" mode can be selectively set and the device can be used according to the mode.

In one embodiment of the invention, a method for a minimally invasive surgical system is disclosed. The method includes capturing and displaying camera images of a surgical site on at least one display device at a surgeon console; switching out of a following mode and into a masters-as-mice (MaM) mode; overlaying a graphical user interface (GUI) including an interactive graphical object onto the camera images; and rendering a pointer within the camera images for user interactive control. In the following mode, the input devices of the surgeon console may couple motion into surgical instruments. In the MaM mode, the input devices interact with the GUI and interactive graphical objects. The pointer is manipulated in three dimensions by input devices having at least three degrees of freedom. Interactive graphical objects are related to physical objects in the surgical site or a function thereof and are manipulatable by the input devices.

Driver distraction is reduced by providing information only when necessary to assist the driver, and in a visually pleasing manner. Obstacles such as other vehicles, pedestrians, and road defects are detected based on analysis of image data from a forward-facing camera system. An internal camera images the driver to determine a line of sight. Navigational information, such as a line with an arrow, is displayed on a windshield so that it appears to overlay and follow the road along the line of sight. Brightness of the information may be adjusted to correct for lighting conditions, so that the overlay will appear brighter during daylight hours and dimmer during the night. A full augmented reality is modeled and navigational hints are provided accordingly, so that the navigational information indicates how to avoid obstacles by directing the driver around them. Obstacles also may be visually highlighted.

A method for a minimally invasive surgical system is disclosed including capturing camera images of a surgical site; generating a graphical user interface (GUI) including a first colored border portion in a first side and a second colored border in a second side opposite the first side; and overlaying the GUI onto the captured camera images of the surgical site for display on a display device of a surgeon console. The GUI provides information to a user regarding the first electrosurgical tool and the second tool in the surgical site that is concurrently displayed by the captured camera images. The first colored border portion in the GUI indicates that the first electrosurgical tool is controlled by a first master grip of the surgeon console and the second colored border portion indicates the tool type of the second tool controlled by a second master grip of the surgeon console.

A method for determining the position and orientation of a camera, which may not rely on the use of special markers. A set of reference images may be stored, together with camera pose and feature information for each image. A first estimate of camera position is determined by comparing the current camera image with the set of reference images. A refined estimate can be obtained using features from the current image matched in a subset of similar reference images, and in particular, the 3D positions of those features. A consistent 3D model of all stored feature information need not be provided.

A method of controlling a mobile terminal, and which includes displaying, via a display on the mobile terminal, a captured or a preview image in a first display portion, displaying, via the display, the same captured or a preview image in a second display portion, zooming, via a controller on the mobile terminal, the captured or preview image displayed in the first display portion, and displaying, via the display, a zoom guide on the image displayed in the second display portion that identifies a zoomed portion of the image displayed in the first display portion.

A system and method for calibrating a camera on a vehicle as the vehicle is being driven. The method includes identifying at least two feature points in at least two camera images from a vehicle that has moved between taking the images. The method then determines a camera translation direction between two camera positions. Following this, the method determines a ground plane in camera coordinates based on the corresponding feature points from the images and the camera translation direction. The method then determines a height of the camera above the ground and a rotation of the camera in vehicle coordinates.

One or more reflectance modifying agent (RMA) such as a pigmented cosmetic agent is applied selectively and precisely with a controlled spray to human skin according to local skin reflectance or texture attributes. One embodiment uses digital control based on the analysis of a camera images. Another embodiment, utilizes a calibrated scanning device comprising a plurality of LEDs and photodiode sensors to correct reflectance readings to compensate for device distance and orientation relative to the skin. Ranges of desired RMA application parameters of high luminance RMA, selectively applied to middle spatial frequency features, at low opacity or application density are each be significantly different from conventional cosmetic practice. The ranges are complementary and the use of all three techniques in combination provides a surprisingly effective result which preserves natural beauty while applying a minimum amount of cosmetic agent.

A method and a device for detecting road users and obstacles on the basis of camera images, in order to determine their distance from the observer and to classify them. In a two-step classification, potential other parties involved in a collision are detected and identified. In so doing, in a first step, potential other parties involved in a collision are marked in the image data of a mono-image camera; their distance and relative velocity are subsequently determined so that endangering objects can be selectively subjected to a type classification in real time. By breaking down the detection activity into a plurality of steps, the real-time capability of the system is also rendered possible using conventional sensors already present in the vehicle.

A system and method for providing visual assistance through a graphic overlay super-imposed on a back-up camera image for assisting a vehicle operator when backing up a vehicle to align a tow ball with a trailer tongue. The method includes providing camera modeling to correlate the camera image in vehicle coordinates to world coordinates, where the camera modeling provides the graphic overlay to include a tow line having a height in the camera image that is determined by an estimated height of the trailer tongue. The method also includes providing vehicle dynamic modeling for identifying the motion of the vehicle as it moves around a center of rotation. The method then predicts the path of the vehicle as it is being steered including calculating the center of rotation.

A synthesized image showing the situation around a vehicle is produced from images taken with cameras capturing the surroundings of the vehicle and presented to a display. A position computation section computes position information and the reliability of the position information, for a plurality of points in the camera images. An image variable-synthesis section produces a first synthesized image from the camera images using the position information. An image fixed-synthesis section produces a second synthesized image by road surface projection, for example, without use of the position information. A synthesis scheme selection section selects either one of the first and second synthesized images according to the reliability as the synthesized image to be presented.

In certain embodiments, a graphical user interface (“GUI”) including a live camera sensor view is displayed and, in response to the capture of a camera image, an image manager pane is displayed together with the live camera sensor view in the graphical user interface. The image manager pane includes a visual indicator representative of the captured camera image. In certain embodiments, a camera image is captured and automatically assigned to a session based on a predefined session grouping heuristic. In certain embodiments, data representative of a captured camera image is provided to a content distribution subsystem over a network, and the content distribution subsystem is configured to distribute data representative of the camera image to a plurality of predefined destinations.

The invention discloses a machine vision and inertial navigation fusion-based mobile robot motion attitude estimation method which comprises the following steps of: synchronously acquiring a mobile robot binocular camera image and triaxial inertial navigation data; distilling front/back frame image characteristics and matching estimation motion attitude; computing a pitch angle and a roll angle by inertial navigation; building a kalman filter model to estimate to fuse vision and inertial navigation attitude; adaptively adjusting a filter parameter according to estimation variance; and carrying out accumulated dead reckoning of attitude correction. According to the method, a real-time expanding kalman filter attitude estimation model is provided, the combination of inertial navigation and gravity acceleration direction is taken as supplement, three-direction attitude estimation of a visual speedometer is decoupled, and the accumulated error of the attitude estimation is corrected; and the filter parameter is adjusted by fuzzy logic according to motion state, the self-adaptive filtering estimation is realized, the influence of acceleration noise is reduced, and the positioning precision and robustness of the visual speedometer is effectively improved.

A closed circuit television system (10) includes a plurality of cameras (C1-Cn) installed throughout an area along routes (R1-Rn) followed by someone passing through the area. A touch screen monitor (18) displays camera images (SC). A console 12 operator selects which camera's image to display. The camera selected is a camera observing a person or object in a path by which the person or object is moving through the area. A tracking system (30) is responsive to the operator for selecting one or more additional cameras positioned along the routes the person or object would follow in moving from their current location. The monitor also displays images from each of these other selected cameras. The tracking system allows the operator to change the selection of cameras whose images are displayed in response to the route, and changes in route, as well as to initiate recording of the camera imagery.

A camera calibration device performs camera calibration for projecting a plurality of camera images from a plurality of cameras onto a predetermined surface to combine them on the basis of the results after calibration patterns to be arranged in a common photographing area of the cameras are photographed by each of the cameras. The camera calibration device judges where or not the calibration patterns are observed by the cameras on the basis of the photographed results. If judging that the calibration patterns are not observed, the camera calibration device creates the content of an instruction to contain the calibration patterns in the common photographing area to allow the cameras to observe the contained calibration patterns on the basis of the photographed results and notifies the instruction content to an operator who is in charge of the arrangement operation of the calibration patterns.

The invention relates to a device which is used intra-operatively to localise carcinogenic tumours and ganglia precisely and in a three-dimensional manner and to correlate the surgical instruments with the images in real time. The structural elements of the functional navigator include: a surgical navigator, a camera which is used to obtain functional images, the position-finding elements of the camera and the surgical instruments and the specific software program which combines all of the information from the aforementioned elements. The surgical navigator is essentially characterised in that the position of the cameras which acquire the functional images is controlled by the navigator by means of emitters or reflectors which are disposed in said cameras. The information relating to the camera images and the position of same, which is determined by the navigator, is analysed by a specific software program and combined with the position of the surgeon's surgical instruments in order to obtain images.

The invention provides a binocular vision obstacle detection method based on three-dimensional point cloud segmentation. The method comprises the steps of synchronously collecting two camera images of the same specification, conducting calibration and correction on a binocular camera, and calculating a three-dimensional point cloud segmentation threshold value; using a three-dimensional matching algorithm and three-dimensional reconstruction calculation for obtaining a three-dimensional point cloud, and conducting image segmentation on a reference map to obtain image blocks; automatically detecting the height of a road surface of the three-dimensional point cloud, and utilizing the three-dimensional point cloud segmentation threshold value for conducting segmentation to obtain a road surface point cloud, obstacle point clouds at different positions and unknown region point clouds; utilizing the point clouds obtained through segmentation for being combined with the segmented image blocks, determining the correctness of obstacles and the road surface, and determining position ranges of the obstacles, the road surface and unknown regions. According to the binocular vision obstacle detection method, the camera and the height of the road surface can be still detected under the complex environment, the three-dimensional segmentation threshold value is automatically estimated, the obstacle point clouds, the road surface point cloud and the unknown region point clouds can be obtained through segmentation, the color image segmentation technology is ended, color information is integrated, correctness of the obstacles and the road surface is determined, the position ranges of the obstacles, the road surface and the unknown regions are determined, the high-robustness obstacle detection is achieved, and the binocular vision obstacle detection method has higher reliability and practicability.

By a method of changing an operation mode of a camera image sensor, an application processor outputs a resolution change request signal to the camera image sensor when an operation mode change signal is generated while the camera image sensor outputs a first sensor output image. The camera image sensor prepares a resolution change operation in response to the resolution change request signal, outputs an interrupt signal to the application processor when the resolution change operation is prepared, performs the resolution change operation after the first sensor output image is output, and outputs a second sensor output image when the resolution change operation is completed. The application processor changes an interface setting value in response to the interrupt signal, and receives the second sensor output image based on the changed interface setting value.