215575results about "Image analysis" patented technology

Apparatus and methods are disclosed for simultaneously tracking multiple finger and palm contacts as hands approach, touch, and slide across a proximity-sensing. compliant, and flexible multi-touch surface. The surface consists of compressible cushion, dielectric, electrode, and circuitry layers. A simple proximity transduction circuit is placed under each electrode to maximize signal-to-noise ratio and to reduce wiring complexity. Such distributed transduction circuitry is economical for large surfaces when implemented with thin-film transistor techniques. Scanning and signal offset removal on an electrode array produces low-noise proximity images. Segmentation processing of each proximity image constructs a group of electrodes corresponding to each distinguishable contact and extracts shape, position and surface proximity features for each group. Groups in successive images which correspond to the same hand contact are linked by a persistent path tracker which also detects individual contact touchdown and liftoff. Combinatorial optimization modules associate each contact's path with a particular fingertip, thumb, or palm of either hand on the basis of biomechanical constraints and contact features. Classification of intuitive hand configurations and motions enables unprecedented integration of typing, resting, pointing, scrolling, 3D manipulation, and handwriting into a versatile, ergonomic computer input device.

A system and method for permitting three-dimensional navigation through a virtual reality environment using camera-based gesture inputs of a system user. The system comprises a computer-readable memory, a video camera for generating video signals indicative of the gestures of the system user and an interaction area surrounding the system user, and a video image display. The video image display is positioned in front of the system user. The system further comprises a microprocessor for processing the video signals, in accordance with a program stored in the computer-readable memory, to determine the three-dimensional positions of the body and principle body parts of the system user. The microprocessor constructs three-dimensional images of the system user and interaction area on the video image display based upon the three-dimensional positions of the body and principle body parts of the system user. The video image display shows three-dimensional graphical objects within the virtual reality environment, and movement by the system user permits apparent movement of the three-dimensional objects displayed on the video image display so that the system user appears to move throughout the virtual reality environment.

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 system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.

Affordable methods and apparatus are disclosed for inputting position, attitude (orientation) or other object characteristic data to computers for the purpose of Computer Aided Design, Painting, Medicine, Teaching, Gaming, Toys, Simulations, Aids to the disabled, and internet or other experiences. Preferred embodiments of the invention utilize electro-optical sensors, and particularly TV Cameras, providing optically inputted data from specialized datum's on objects and / or natural features of objects. Objects can be both static and in motion, from which individual datum positions and movements can be derived, also with respect to other objects both fixed and moving. Real-time photogrammetry is preferably used to determine relationships of portions of one or more datums with respect to a plurality of cameras or a single camera processed by a conventional PC.

A system and method for rendering high dynamic range images includes a rendering manager that divides an original luminance image into a plurality of original subband images. The rendering manager converts the original subband images into original contrast images which are converted into original perceived contrast images. The rendering manager performs a compression procedure upon the original perceived contrast images to produce compressed perceived contrast images. The rendering manager converts the compressed perceived contrast images into compressed contrast images which are converted into compressed subband images. The rendering manager performs a subband combination procedure for combining the compressed subband images together with a lowest-frequency subband image to generate a rendered luminance image. The rendering manager may combines the rendered luminance image with corresponding chrominance information to generate a rendered composite image.

Systems and methods of determining the volume and dimensions of a three-dimensional object using a dimensioning system are provided. The dimensioning system can include an image sensor, a non-transitory, machine-readable, storage, and a processor. The dimensioning system can select and fit a three-dimensional packaging wireframe model about each three-dimensional object located within a first point of view of the image sensor. Calibration is performed to calibrate between image sensors of the dimensioning system and those of the imaging system. Calibration may occur pre-run time, in a calibration mode or period. Calibration may occur during a routine. Calibration may be automatically triggered on detection of a coupling between the dimensioning and the imaging systems.

A number of improvements are provided relating to computer aided surgery utilizing an on tool tracking system. The various improvements relate generally to both the methods used during computer aided surgery and the devices used during such procedures. Other improvements relate to the structure of the tools used during a procedure and how the tools can be controlled using the OTT device. Still other improvements relate to methods of providing feedback during a procedure to improve either the efficiency or quality, or both, for a procedure including the rate of and type of data processed depending upon a CAS mode.

A method and apparatus for mapping depth of an object (22) in a preferred arrangement uses a projected light pattern to provide a selected texture to the object (22) along the optical axis (24) of observation. An imaging system senses (32, 34) first and second images of the object (22) with the projected light pattern and compares the defocused of the projected pattern in the images to determine relative depth of elemental portions of the object (22).

A method for determining the presence of a face from image data includes a face detection algorithm having two separate algorithmic steps: a first step of prescreening image data with a first component of the algorithm to find one or more face candidate regions of the image based on a comparison between facial shape models and facial probabilities assigned to image pixels within the region; and a second step of operating on the face candidate regions with a second component of the algorithm using a pattern matching technique to examine each face candidate region of the image and thereby confirm a facial presence in the region, whereby the combination of these components provides higher performance in terms of detection levels than either component individually. In a camera implementation, a digital camera includes an algorithm memory for storing an algorithm comprised of the aforementioned first and second components and an electronic processing section for processing the image data together with the algorithm for determining the presence of one or more faces in the scene. Facial data indicating the presence of faces may be used to control, e.g., exposure parameters of the capture of an image, or to produce processed image data that relates, e.g., color balance, to the presence of faces in the image, or the facial data may be stored together with the image data on a storage medium.

A multiple camera tracking system for interfacing with an application program running on a computer is provided. The tracking system includes two or more video cameras arranged to provide different viewpoints of a region of interest, and are operable to produce a series of video images. A processor is operable to receive the series of video images and detect objects appearing in the region of interest. The processor executes a process to generate a background data set from the video images, generate an image data set for each received video image, compare each image data set to the background data set to produce a difference map for each image data set, detect a relative position of an object of interest within each difference map, and produce an absolute position of the object of interest from the relative positions of the object of interest and map the absolute position to a position indicator associated with the application program.

An identification method and process for objects from digitally captured images thereof that uses image characteristics to identify an object from a plurality of objects in a database. The image is broken down into parameters such as a Shape Comparison, Grayscale Comparison, Wavelet Comparison, and Color Cube Comparison with object data in one or more databases to identify the actual object of a digital image.

A system and method of displaying at least one point-of-interest of a body during an intra-body medical procedure. The method is effected by (a) establishing a location of the body; (b) establishing a location of an imaging instrument being for imaging at least a portion of the body; (c) defining at least one projection plane being in relation to a projection plane of the imaging instrument; (d) acquiring at least one point-of-interest of the body; and (c) projection said at least one point-of-interest on said at least one projection plane; such that, in course of the procedure, the locations of the body and the imaging instrument are known, thereby the at least one point-of-interest is projectable on the at least one projection plane even in cases whereby a relative location of the body and the imaging instrument are changed.

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 camera array captures plural component images which are combined into a single scene from which “panning” and “zooming” within the scene are performed. In one embodiment, each camera of the array is a fixed digital camera. The images from each camera are warped and blended such that the combined image is seamless with respect to each of the component images. Warping of the digital images is performed via pre-calculated non-dynamic equations that are calculated based on a registration of the camera array. The process of registering each camera in the arrays is performed either manually, by selecting corresponding points or sets of points in two or more images, or automatically, by presenting a source object (laser light source, for example) into a scene being captured by the camera array and registering positions of the source object as it appears in each of the images. The warping equations are calculated based on the registration data and each scene captured by the camera array is warped and combined using the same equations determined therefrom. A scene captured by the camera array is zoomed, or selectively steered to an area of interest. This zooming- or steering, being done in the digital domain is performed nearly instantaneously when compared to cameras with mechanical zoom and steering functions.

A computer implemented method and system for gesture category recognition and training. Generally, a gesture is a hand or body initiated movement of a cursor directing device to outline a particular pattern in particular directions done in particular periods of time. The present invention allows a computer system to accept input data, originating from a user, in the form gesture data that are made using the cursor directing device. In one embodiment, a mouse device is used, but the present invention is equally well suited for use with other cursor directing devices (e.g., a track ball, a finger pad, an electronic stylus, etc.). In one embodiment, gesture data is accepted by pressing a key on the keyboard and then moving the mouse (with mouse button pressed) to trace out the gesture. Mouse position information and time stamps are recorded. The present invention then determines a multi-dimensional feature vector based on the gesture data. The feature vector is then passed through a gesture category recognition engine that, in one implementation, uses a radial basis function neural network to associate the feature vector to a pre-existing gesture category. Once identified, a set of user commands that are associated with the gesture category are applied to the computer system. The user commands can originate from an automatic process that extracts commands that are associated with the menu items of a particular application program. The present invention also allows user training so that user-defined gestures, and the computer commands associated therewith, can be programmed into the computer system.

A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body / object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.

An interactive video display system. A display screen is for displaying a visual image for presentation to a user. A camera is for detecting an object in an interactive area located in front of the display screen, the camera operable to capture three-dimensional information about the object. A computer system is for directing the display screen to change the visual image in response to the object.

Systems and methods are provided for performing focus detection, referential ambiguity resolution and mood classification in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment for one or more users.

Systems and methods of determining the volume and dimensions of a three-dimensional object using a dimensioning system are provided. The dimensioning system can include an image sensor, a non-transitory, machine-readable, storage, and a processor. The dimensioning system can select and fit a three-dimensional packaging wireframe model about each three-dimensional object located within a first point of view of the image sensor. Calibration is performed to calibrate between image sensors of the dimensioning system and those of the imaging system. Calibration may occur pre-run time, in a calibration mode or period. Calibration may occur during a routine. Calibration may be automatically triggered on detection of a coupling between the dimensioning and the imaging systems.

A system, method and apparatus for eliminating image tearing effects and other visual artifacts perceived when scanning moving subject matter with a scanned beam imaging device. The system, method and apparatus uses a motion detection means in conjunction with an image processor to alter the native image to one without image tearing or other visual artifacts. The image processor monitors the motion detection means and reduces the image resolution or translates portions of the imaged subject matter in response to the detected motion.

A fingerprint-reading system includes a fingerprint sensor having an active surface sensitive to the pressure and temperature of a finger. The surface area of this sensor is far smaller than the surface area of the fingerprint to be read. The reading is done when the sensor and the finger are in contact and in a relative motion of sliding of the sensor and the finger with respect to each other. The system reconstitutes a complete image of the fingerprint from the partial images given by the sensor during this motion.

A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of a first object detected in a first group of the images. The first object has a first signature representing features of the first object. The match classifier matches object instances by analyzing data derived from the first signature of the first object and a second signature of a second object detected in a second image. The second signature represents features of the second object derived from the second image. The match classifier determine whether the second signature matches the first signature. A training process automatically configures the match classifier using a set of possible object features.

The present invention provides a structured-light based system for providing a 3D image of at least one object within a field of view within a body cavity, comprising: a. An endoscope; b. at least one camera located in the endoscope's proximal end, configured to real-time provide at least one 2D image of at least a portion of said field of view by means of said at least one lens; c. a light source, configured to real-time illuminate at least a portion of said at least one object within at least a portion of said field of view with at least one time and space varying predetermined light pattern; and, d. a sensor configured to detect light reflected from said field of view; e. a computer program which, when executed by data processing apparatus, is configured to generate a 3D image of said field of view.

A navigation system for a vehicle includes a vehicle-based telematics system, a vehicle-based global positioning system and a control. The telematics system is operable to receive a user input from a driver of the vehicle and to download directional information from an external service provider to the control in response to the user input and an initial geographic position of the vehicle. The directional information comprises at least two instructions with each of the instructions being coded or associated with or linked to a respective geographic location. The control is operable to provide an output corresponding to each of the instructions in response to a current actual geographic position of the vehicle. The control is operable to provide each instruction only when the then current actual geographic position of the vehicle at least generally corresponds to the particular geographic location associated with the instruction.