517 results about "Vision processing" patented technology

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

A closed-loop vision system is disclosed that utilizes a concept known as Dynamically Reconfigurable Vision (DRV), which is adaptive image sensing driven by a computer or human operator's response to changing scenery. The system reduces the amount of irrelevant video information sensed and thus achieves more effective bandwidth and computational resource utilization, as compared to traditional vision systems. One or more reconfigurable photodetector arrays sensitive to either visible, infrared or ultraviolet radiation are present in the DRV system. These photodetector arrays feature on-chip means for spatial and temporal data reduction implemented through multiple independently controllable, time-correlated, frequently overlapping windows on the photodetector array that may be programmed according to their size, location, resolution, integration time, and frame rate. All photodetector array windows are dynamically reconfigurable in real time on a frame-by-frame basis. Furthermore, a DRV system is constructed in a client-server architecture in which a vision processor client passes window request command messages to the reconfigurable photodetector array server, which in turn delivers the requested video back to the client processor. The ability to simultaneously reconfigure, integrate, process, and readout multiple photodetector array video windows is an important characteristic of the DRV system.

Information from execution of a vision processing module may be used to control a 3D vision system.

An automated inspection system particularly adapted for detection and discrimination of surface irregularities of specularly reflecting and other materials, such as are employed in laminate chip carriers and printed circuit boards, includes an area scan image sensor allowing illumination sources to surround an area of a surface being inspected. The illumination source preferably provides either or both bright field and dark field illumination of the surface; developing generally complementary images of surface irregularities. A self-registering rules-driven process for developing inspection masks reduces alignment operations and improves performance. Image enhancement and morphological operations to detect surface irregularities are performed by digital signal processing, preferably using a dedicated vision processor. Masks screen potential defects to critical mounting and bonding surfaces accurately without requiring alignment of data or reference images to acquired images. Since potential defects are copied from acquired images and stored, verification of defects may be performed without further access to the inspected part and without removal of the part to another specialized apparatus, simplifying processing and increasing throughput and operator efficiency.

A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

The automated cage cleaning system is comprised of a pair of robotic arms, a soil side robot and a clean side robot. The soil side robot is utilized for removing the dirty cage bottoms from a cart, rack, pallet, or fixture, emptying soiled bedding from the cage bottoms, and placing the cage bottoms on a conveyer leading to the tunnel washing equipment. The clean side robot is used to grip the clean cage bottoms, and place the cage bottoms on a cart, rack, pallet, or fixture. Additionally, the present invention comprises an optical arranger robot with vision processing for detecting, and moving skewed cage bottoms to a re-grip station. From the re-grip station, the clean side robot places the cage bottoms on a rack, pallet, fixture, or any other device suitable for holding a plurality of cage bottoms.

This invention provides a system and method for determining position of a viewed object in three dimensions by employing 2D machine vision processes on each of a plurality of planar faces of the object, and thereby refining the location of the object. First a rough pose estimate of the object is derived. This rough pose estimate can be based upon predetermined pose data, or can be derived by acquiring a plurality of planar face poses of the object (using, for example multiple cameras) and correlating the corners of the trained image pattern, which have known coordinates relative to the origin, to the acquired patterns. Once the rough pose is achieved, this is refined by defining the pose as a quaternion (a, b, c and d) for rotation and a three variables (x, y, z) for translation and employing an iterative weighted, least squares error calculation to minimize the error between the edgelets of trained model image and the acquired runtime edgelets. The overall, refined/optimized pose estimate incorporates data from each of the cameras' acquired images. Thereby, the estimate minimizes the total error between the edgelets of each camera's/view's trained model image and the associated camera's/view's acquired runtime edgelets. A final transformation of trained features relative to the runtime features is derived from the iterative error computation.

The present invention is embodied in a system and method for rectifying two dimensional images of three dimensional (3D) objects for stereo vision processing. In general, the system and method of the present invention computes 2D projective transforms or homographies derived from specialized projective and affine transforms or components. The affine transform is comprised of a first transform and an optional second transform for image rectification. During image rectification of the present invention, optimization techniques are used for reducing the distortion.

In order to inhibit artifacts (even when a special image has been input) a visual processing device is provided with a spatial processing portion extracting surrounding image information US from an input image signal IS, and a special image detection portion outputting a special image effect adjustment signal DS according to a degree of a statistical bias of the image signal IS. The visual processing device also includes a continuous changing portion outputting an effect adjustment signal MOD in which the special image effect adjustment signal DS is continuously changed between frames, an effect adjustment portion outputting a synthesized signal MUS in which the effect of the visual processing differs depending on the effect adjustment signal MOD, and a visual processing portion outputting a processed signal OS obtained by visually processing the image signal IS based on the image signal IS and the synthesized signal MUS.

The invention discloses a welding quality analysis device based on infrared vision and an analysis method thereof. The analysis device comprises an infrared vision collecting system that is adjustably and fixedly connected to a welding facility, a vision processing system, in which welding defect intelligent recognition algorithm is embedded, and a feed control system, which can evaluate the welding quality, give an alarm, and adjust the parameters of the welding facility. The analysis method comprises the following steps: (1) collecting the infrared vision information of a molten pool or an area near a molten pool in real time through infrared sensing; (2) processing the infrared vision information by the welding defect intelligent recognition algorithm so as to obtain the weld seam positions and welding defect characteristics; (3) evaluating the welding quality in real time, and controlling the welding facility and giving an alarm aiming at different welding defects. According to the provided intelligent analysis device and intelligent analysis method, the welding process can be monitored in real time, the welding defects can be recognized, the welding seam position can be traced, the welding quality can be evaluated, the welding loss can be reduced, and the finished product yield rate can be increased.

The present invention is embodied in a system and method for computing rectifying homographies for stereo vision processing of three dimensional (3D) objects. In general, the system and method of the present invention computes 2D projective transforms or homographies derived from specialized projective and affine transforms or components. The affine transform is comprised of a similarity transform and an optional shearing transform for image rectification. During image rectification of the present invention, optimization techniques are used for reducing the distortion.

A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.

An apparatus for measuring jaw motion has a pair of fixed marker attached to both sides of face of patient, a pair of movable markers disposed to face the fixed marker in a spaced distance and to move in unison with the movement of the lower jaw of patient, four cameras recording the three-dimensional movement of the movable marker relative to the fixed marker, as lower jaw moves, and personal computer for receiving and processing the image signals fed from connected cameras. The apparatus can accurately measure the location of the center of patient's jaw motion and the moving track thereof with stereo vision processing of the image signals obtained from camera.

The invention discloses a LED lamp light scene control system and control method thereof. The control system comprises a video frequency acquiring sub system, a vision processing sub system, a lamp light decision making sub system and a group of illuminating sub systems connected with the lamp light decision making sub system. the vision processing sub system is connected with the video frequency acquiring sub system for receiving image information and performing vision identification; the lamp light decision making sub system receives the vision identification processing signal and generates decision control signal; and the illuminating sub systems lights up the scene lamps according to the decision control signal. The control method comprises: acquiring the action information of the lamp light director; performing vision identification and processing; generating relative decision control signal; sending to the LED array and lighting up the lamp light scene. The invention can make the art light scene after lighting up the LED array more intelligent and more evident in effect; the art effect of the LED array can be showed in larger range, for example all the outer wall of a building group; and the coloring effect of the vision effect of the light scene is improved.

This invention provides a vision system with an exchangeable illumination assembly that allows for increased versatility in the type and configuration of illumination supplied to the system without altering the underlying optics, sensor, vision processor, or the associated housing. The vision system housing includes a front plate that optionally includes a plurality of mounting bases for accepting different types of lenses, and a connector that allows removable interconnection with the illustrative illumination assembly. The illumination assembly includes a cover that is light transmissive. The cover encloses an illumination component that can include a plurality of lighting elements that surround an aperture through which received light rays from the imaged scene pass through to the lens. The arrangement of lighting elements is highly variable and the user can be supplied with an illumination assembly that best suits its needs without need to change the vision system processor, sensor or housing.

The invention belongs to the field of computer vision, and aims at achieving the accurate filling of a pixel row and column loss image. The technical scheme employed in the invention is that a row and column loss image filling method based on low-rank matrix reconstruction and sparse representation comprises the steps: introducing low-rank priori to carry out the constraining of a potential image based on the low-rank matrix reconstruction theory; introducing a separable two-dimensional sparse priori based on the sparse representation theory with the consideration to a condition that the sparse representation of each column of a row loss image can be achieved through a column dictionary and the sparse representation of each row of a column loss image can be achieved through a row dictionary; specifically describing a filling problem of an image with the row and column loss into a solving problem of a constraint optimization equation based on the above combined low-rank and separable two-dimensional sparse priori, thereby achieving the filling of the row and column loss image. The method is mainly used for a computer vision processing occasion.