98640 results about "Imaging processing" patented technology

An endoscope system comprises a scope and a processor. The scope has an imaging sensor, a first image-processing unit that performs primary image processing, a first memory, and a second memory. The first and second memories are non-volatile. The processor has a second image-processing unit that performs secondary image processing, and a processor memory that is non-volatile. The first memory stores an system data that includes parameters for the primary and secondary image processing. The processor memory stores the system data. The second memory is used for storing the system data stored in the processor memory when it is determined that the system data stored in the first memory is older than the system data stored in the processor memory. The system data stored in the second memory is overwritten onto the first scope memory after the system data is stored in the second memory.

A video gesture-based three-dimensional computer interface system that uses images of hand gestures to control a computer and that tracks motion of the user's hand or a portion thereof in a three-dimensional coordinate system with ten degrees of freedom. The system includes a computer with image processing capabilities and at least two cameras connected to the computer. During operation of the system, hand images from the cameras are continually converted to a digital format and input to the computer for processing. The results of the processing and attempted recognition of each image are then sent to an application or the like executed by the computer for performing various functions or operations. When the computer recognizes a hand gesture as a "point" gesture with one or two extended fingers, the computer uses information derived from the images to track three-dimensional coordinates of each extended finger of the user's hand with five degrees of freedom. The computer utilizes two-dimensional images obtained by each camera to derive three-dimensional position (in an x, y, z coordinate system) and orientation (azimuth and elevation angles) coordinates of each extended finger.

A powerful, scaleable, and reconfigurable image processing system and method of processing data therein is described. This general purpose, reconfigurable engine with toroidal topology, distributed memory, and wide bandwidth I / O are capable of solving real applications at real-time speeds. The reconfigurable image processing system can be optimized to efficiently perform specialized computations, such as real-time video and audio processing. This reconfigurable image processing system provides high performance via high computational density, high memory bandwidth, and high I / O bandwidth. Generally, the reconfigurable image processing system and its control structure include a homogeneous array of 16 field programmable gate arrays (FPGA) and 16 static random access memories (SRAM) arranged in a partial torus configuration. The reconfigurable image processing system also includes a PCI bus interface chip, a clock control chip, and a datapath chip. It can be implemented in a single board. It receives data from its external environment, computes correspondence, and uses the results of the correspondence computations for various post-processing industrial applications. The reconfigurable image processing system determines correspondence by using non-parametric local transforms followed by correlation. These non-parametric local transforms include the census and rank transforms. Other embodiments involve a combination of correspondence, rectification, a left-right consistency check, and the application of an interest operator.

A method for operating an indicia reading terminal is provided wherein image information can be processed for determining a location of a decodable indicia representation for a certain frame of image data, the result of the processing can be utilized for determination of an imaging parameter, the imaging parameter can be utilized for capture of a subsequent frame and the subsequent frame can be subject to image processing.

An image conversion system for converting monoscopic images for viewing in three dimensions including: an input means adapted to receive the monoscopic images; a preliminary analysis means to determine if there is any continuity between a first image and a second image of the monoscopic image sequence; a secondary analysis means for receiving monoscopic images which have a continuity, and analyzing the images to determine the speed and direction of motion, and the depth, size and position of objects; a first processing means for processing the monoscopic images based on data received from the preliminary analysis means or the secondary analysis means; a second processing means capable of further processing images received from the first processing means; a transmission means capable of transferring the processed images to a stereoscopic display system.

A smart phone senses audio, imagery, and / or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

The present disclosure is directed to an augmented reality surgical system for viewing an augmented image of a region of interest during a surgical procedure. The system includes an image capture device that captures an image of the region of interest. A controller receives the image and applies at least one image processing filter to the image. The image processing filter includes a spatial decomposition filter that decomposes the image into spatial frequency bands. A temporal filter is applied to the spatial frequency bands to generate temporally filtered bands. An adder adds each band spatial frequency band to a corresponding temporally filtered band to generate augmented bands. A reconstruction filter generates an augmented image by collapsing the augmented bands. A display displays the augmented image to a user.

The present invention provides a surgical controlling system, comprising: a. at least one endoscope adapted to provide real-time image of surgical environment of a human body; b. at least one processing means, adapted to real time define n element within said real-time image of surgical environment of a human body; each of said elements is characterized by predetermined characteristics; c. image processing means in communication with said endoscope, adapted to image process said real-time image and to provide real time updates of said predetermined characteristics; d. a communicable database, in communication with said processing means and said image processing means, adapted to store said predetermined characteristics and said updated characteristics; wherein said system is adapted to notify if said updated characteristics are substantially different from said predetermined characteristics.

A recognition object detecting portion detects a recognition object existing in each of images which are captured in series at different time points by a camera. Images of the detected recognition object are stored in a memory. A recognition object condition judging portion determines whether image areas of the recognition object are recognizable. A movement amount detecting portion detects a movement amount of the recognition object by using the image areas of the recognition object stored in the memory. A sub-area detecting portion detects a sub-area to be recognized, by using the image areas of the recognition object read out from the memory, in accordance with the movement amount of the recognition object. A recognition portion performs recognition processing on the sub-areas. A recognition result integration portion integrates recognition results of the sub-areas including recognized characters and / or recognized patterns and the corresponding reliabilities, respectively.

A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC.x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Position information of equipment at an event, such as a ball, one or more players, or other items in a game or sporting event, is used in selecting camera, camera shot type, camera angle, audio signals, and / or other output data for providing a multimedia presentation of the event to a viewer. The position information is used to determine the desired viewer perspective. A network of feedback robotically controlled Pan-Tilt-Zoom (PTZ), manually controlled cameras and stationary cameras work together with interpolation techniques to create a 2D video signal. The position information may also be used to access gaming rules and assist officiating of the event. The position information may be obtained through a transceiver(s), accelerometer(s), transponder(s), and / or RADAR detectable element(s) fitted into the ball, apparel or equipment of players, the players themselves, or other playing equipment associated with the game or sporting event. Other positioning methods that can be used include infrared video-based tracking systems, SONAR positioning system(s), LIDAR positioning systems, and digital signal processing (DSP) image processing techniques such as triangulation.

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC.x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

An image processing apparatus for tracking faces in an image stream iteratively receives an acquired image from the image stream potentially including one or more face regions. The acquired image is sub-sampled at a specified resolution to provide a sub-sampled image. An integral image is then calculated for a least a portion of the sub-sampled image. Fixed size face detection is applied to at least a portion of the integral image to provide a set of candidate face regions. Responsive to the set of candidate face regions produced and any previously detected candidate face regions, the resolution is adjusted for sub-sampling a subsequent acquired image.

A sensor system for use in a vehicle that integrates sensor data from more than one sensor in an effort to facilitate collision avoidance and other types of sensor-related processing. The system include external sensors for capturing sensor data external to the vehicle. External sensors can include sensors of a wide variety of different sensor types, including radar, image processing, ultrasonic, infrared, and other sensor types. Each external sensor can be configured to focus on a particular sensor zone external to the vehicle. Each external sensor can also be configured to focus primarily on particular types of potential obstacles and obstructions based on the particular characteristics of the sensor zone and sensor type. All sensor data can be integrated in a comprehensive manner by a threat assessment subsystem within the sensor system. The system is not limited to sensor data from external sensors. Internal sensors can be used to capture internal sensor data, such a vehicle characteristics, user attributes, and other types of interior information. Moreover, the sensor system can also include an information sharing subsystem of exchanging information with other vehicle sensor systems or for exchanging information with non-vehicle systems such as a non-movable highway sensor system configured to transmit and receive information relating to traffic, weather, construction, and other conditions. The sensor system can potentially integrate data from all different sources in a comprehensive and integrated manner. The system can integrate information by assigning particular weights to particular determinations by particular sensors.

Systems and methods are described for generating restricted depth of field depth maps. In one embodiment, an image processing pipeline application configures a processor to: determine a desired focal plane distance and a range of distances corresponding to a restricted depth of field for an image rendered from a reference viewpoint; generate a restricted depth of field depth map from the reference viewpoint using the set of images captured from different viewpoints, where depth estimation precision is higher for pixels with depth estimates within the range of distances corresponding to the restricted depth of field and lower for pixels with depth estimates outside of the range of distances corresponding to the restricted depth of field; and render a restricted depth of field image from the reference viewpoint using the set of images captured from different viewpoints and the restricted depth of field depth map.

A digital display system consists of an image modulator and multiple light modulators. An image processing system processes an incoming data stream, scans processed data to an image modulator and controls for the light modulators. Other user inputs and sensors are used to affect the processing and controls. The timing for scanning the processed data into the image modulators is controlled along with the intensity and wavelength of the light modulators. The display system may implement a spatial and temporal image processing, digital shutter controls, rolling shutter controls, sequential color output, adaptive dynamic sensor feedback, frame rate matching, motion compensated field sequencing and a variety of other techniques to produce a high quality display output. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

Single-camera image processing methods are disclosed for 3D navigation within ordinary moving video. Along with color and brightness, XYZ coordinates can be defined for every pixel. The resulting geometric models can be used to obtain measurements from digital images, as an alternative to on-site surveying and equipment such as laser range-finders. Motion parallax is used to separate foreground objects from the background. This provides a convenient method for placing video elements within different backgrounds, for product placement, and for merging video elements with computer-aided design (CAD) models and point clouds from other sources. If home users can save video fly-throughs or specific 3D elements from video, this method provides an opportunity for proactive, branded media sharing. When this image processing is used with a videoconferencing camera, the user's movements can automatically control the viewpoint, creating 3D hologram effects on ordinary televisions and computer screens.

An identity verification system is used to identify persons with high accuracy, while avoiding direct contact with the device to prevent any negative psychological reaction from a user. The system includes: a camera unit and an image processing unit for obtaining object images of body parts (such as fingerprints and irides) by scanning, without physical contact; an image display unit for displaying layered images of the body part as scanned and a guide showing the body part in an optimal position; a control unit for extracting biometric characteristic data from object images and sending the data to a verification server after encrypting by an encryption unit; and a communications interface unit.

An image processing apparatus comprises a receiver (201) for receiving an image signal which comprises at least an encoded image and a target display reference. The target display reference is indicative of a dynamic range of a target display for which the encoded image is encoded. A dynamic range processor (203) generates an output image by applying a dynamic range transform to the encoded image in response to the target display reference. An output (205) then outputs an output image signal comprising the output image, e.g. to a suitable display. The dynamic range transform may furthermore be performed in response to a display dynamic range indication received from a display. The invention may be used to generate an improved High Dynamic Range (HDR) image from e.g. a Low Dynamic Range (LDR) image, or vice versa.

A class of measurement devices can be made available using a family of projection patterns and image processing and computer vision algorithms. The proposed system involves a camera system, one or more structured light source, or a special pattern that is already drawn on the object under measurement. The camera system uses computer vision and image processing techniques to measure the real length of the projected pattern. The method can be extended to measure the volumes of boxes, or angles on planar surfaces.

A digital camera system (20), as illustrated in FIG. 1, includes an optical assembly (22) to gather light (24) from a desired scene (26), a modular imaging subsystem (28) aligned with the optical assembly (22), and an image processing, recording and display subsystem (34).

A technique for processing a digital image uses face detection to achieve one or more desired image processing parameters. A group of pixels is identified that corresponds to a face image within the digital image. A skin tone is detected for the face image by determining one or more default color or tonal values, or combinations thereof, for the group of pixels. Values of one or more parameters are adjusted for the group of pixels that correspond to the face image based on the detected skin tone.

Image processing enhances display quality by controlling both the image modulator and the light sources to produce the best possible visual images. The image processing system utilizes a combination of user inputs, system configuration, design information, sensor feedback, pixel modulation information, and lighting control information to characterize the display environment on a per pixel basis. This per pixel characterization information is combined with one or more frames of the incoming real time display data. The image processing system processes each incoming pixel and produces a modified corresponding output pixel. Each pixel of each frame is processed accordingly. In addition to producing modified output pixels, the image processing system produces control information for the light sources. The light source control information can control individual lamps, tubes or LEDs, or can control a block or subset of the light sources. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

A method of determining an eye gaze direction of an observer is disclosed comprising the steps of: (a) capturing at least one image of the observer and determining a head pose angle of the observer; (b) utilizing the head pose angle to locate an expected eye position of the observer, and (c) analyzing the expected eye position to locate at least one eye of the observer and observing the location of the eye to determine the gaze direction.

The present invention is a system and method for detecting facial features of humans in a continuous video and superimposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.