4373 results about "Image matching" patented technology

A mobile inventory robot system generates an inventory map of a store and a product database when a mobile inventory robot is manually navigated through the store to identify items on shelves, a location for each of the items on the shelves, and a barcode for each of the items. The system performs inventory of the items by navigating through the store via the inventory map, capturing a shelf image, decoding a product barcode from the captured shelf image, retrieving a product image for the decoded product barcode from the product database, segmenting the captured shelf image to detect an image of an item on the shelves, determining whether the detected image matches the retrieved image and, if not, setting an out-of-stock flag for an the item.

An integrated endoscopic image acquisition and therapeutic delivery system for use in minimally invasive medical procedures (MIMPs). The system uses directed and scanned optical illumination provided by a scanning optical fiber or light waveguide that is driven by a piezoelectric or other electromechanical actuator included at a distal end of an integrated imaging and diagnostic / therapeutic instrument. The directed illumination provides high resolution imaging, at a wide field of view (FOV), and in full color that matches or excels the images produced by conventional flexible endoscopes. When using scanned optical illumination, the size and number of the photon detectors do not limit the resolution and number of pixels of the resulting image. Additional features include enhancement of topographical features, stereoscopic viewing, and accurate measurement of feature sizes of a region of interest in a patient's body that facilitate providing diagnosis, monitoring, and / or therapy with the instrument.

In one embodiment of the invention, a tool tracking system is disclosed including a computer usable medium having computer readable program code to receive images of video frames from at least one camera and to perform image matching of a robotic instrument to determine video pose information of the robotic instrument within the images. The tool tracking system further includes computer readable program code to provide a state-space model of a sequence of states of corrected kinematics information for accurate pose information of the robotic instrument. The state-space model receives raw kinematics information of mechanical pose information and adaptively fuses the mechanical pose information and the video pose information together to generate the sequence of states of the corrected kinematics information for the robotic instrument. Additionally disclosed are methods for image guided surgery.

Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image. In addition, each forward imaging transformation corresponds to the manner in which each imager in the imaging array generate the input images, and the high resolution image synthesized by the microprocessor has a resolution that is greater than any of the input images.

A data storage and retrieval device and method is disclosed. The device includes at least one magnetic storage medium configured to store target data and at least one re-configurable logic device comprising an FPGA coupled to the at least one magnetic storage medium and configured to read a continuous stream of target data therefrom, having been configured with a template or as otherwise desired to fit the type of search and data being searched. The re-configurable logic device is configured to receive at least one search inquiry in the form of a data key and to determine a match between the data key and the target data as it is being read from the at least one magnetic storage medium. This device and method can perform a variety of searches on the target data including without limitation exact and approximate match searches, sequence match searches, image match searches and data reduction searches. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN. In addition to performing search and data reduction operations, this device may also be used to perform a variety of other processing operations including encryption, decryption, compression, decompression, and combinations thereof.

The present invention provides a system and method for input of images containing faces for accessing, linking, and or visualizing multiple similar facial images and associated electronic data for innovative new on-line commercialization, medical and training uses. The system uses various image capturing devices and communication devices to capture images and enter them into a facial image recognition search engine. Embedded facial image recognition techniques within the image recognition search engine extract facial images and encode the extracted facial images in a computer readable format. The processed facial images are then entered for comparison into at least one database populated with facial images and associated information. Once the newly captured facial images are matched with similar “best-fit match” facial images in the facial image recognition search engine's database, the “best-fit” matching images and each image's associated information are returned to the user. Additionally, the newly captured facial image can be automatically linked to the “best-fit” matching facial images, along with comparisons calculated, and / or visualized. Key new use innovations of the system include but are not limited to: input of user selected facial images for use finding multiple similar celebrity look-a-likes, with automatic linking that return the look-a-like celebrities' similar images, associated electronic information, and convenient opportunities to purchase fashion, jewelry, products and services to better mimic your celebrity look-a-likes; health monitoring and diagnostic use by conveniently organizing and superimposing periodically captured patient images for health professionals to view progress of patients; entirely new classes of semi-transparent superimposed training your face to mimic other similar faces, such as mimic celebrity look-a-like cosmetic applications, and or facial expressions; intuitive automatic linking of similar facial images for enhanced information technology in the context of enhanced and improved organization, classification, and fast retrieval objects and advantages; and an improved method of facial image based indexing and retrieval of information from the web-crawler or spider searched Web, USENET, and other resources to provide new types of intuitive easy to use searching, and / or combined use with current key-word searching for optimized searching.

The present invention provides a system and method for accessing electronic data through entry of images as queries in search engine. The system uses various image capturing devices and communication devices to capture images and enter them into image database. Image recognition techniques encode images in a computer readable format. The processed image is then entered for comparison into at least one database populated with images and associated information. Once the newly captured image is matched with an image in the database, the information linked with that image is returned to the user.

A face detection and / or detection method includes acquiring a digital color image. An active appearance model (AAM) is applied including an interchannel-decorrelated color space. One or more parameters of the model are matched to the image. Face detection results based on the matching and / or different results incorporating the face detection result are communicated.

A method and apparatus for processing a plurality of financial documents, comprising, a document processor, wherein, for each financial document, the document processor captures data encoded on the financial document and an image of the financial document during a prime pass, and assigns a prime pass sequence number to each financial document. The apparatus includes a computer database in which the prime pass data and image is stored in association with the prime pass sequence number for the financial document. The document processor is adapted to determine whether the financial document should be rejected because the data and document image needs to be repaired or the data only needs to be repaired. If the data and image needs to be repaired, the document processor, or a desktop scanner / reader, recaptures the data and image, assigns a recapture sequence number to the financial document, and the recaptured data and image is stored in the computer database in association with the recapture sequence number. An image repair application is adapted to permit an operator to locate a prime pass image that matches the recaptured image, and to repair the document image by visually comparing the recaptured image with the prime pass image. The repaired document image is then stored in the computer database in association with the corresponding prime pass sequence number.

A mobile query and response system and method that is based on visual cues, in which a user captures and transmits an image with a networked mobile device such as a cell phone or PDA with image capture and transmission capabilities. Searchable records that include stored image data and response information associated with such data are provided. The image transmitted by the user is used to perform a search of the records, to find in the records an image that matches the transmitted image. If a match is found, the response information associated with the stored image data for the matching image is retrieved, and that response information is used to send a reply to the user.

A system, method and computer program product for maintaining shelf inventory data on a shelf. The system includes a camera for capturing shelf images of items on the shelf. An inventory database stores a product name, type, barcode, image and inventory data. An image-count correlation database stores historical product inventory images and product shelf inventory counts associated with the products in the historical images which are read from the product inventory database. A computer processor segments the shelf images into product inventory images, matches the inventory images with the historical images, and updates the shelf inventory data in the inventory database based on the product shelf inventory counts associated with the matched historical images in the image-count correlation database.

An image matching method and system for use with multiple images of a scene captured from different angles. Image matching is performed by identifying a plurality of segments within at least two images, determining an initial disparity values for pixels in the images and then determining initial disparity planes for the segments by fitting a plane to initial disparity values for the segments. A refined disparity plane set is created by iteratively refitting the disparity planes by using various fitting cost functions and weighted linear systems. A labeling of each segment to a disparity plane is made by minimizing a global energy function that includes energy terms for segment to disparity plane matching as well as penalizing disparity plane discontinuities between adjacent image segments.

A data storage and retrieval device and method is disclosed. The device includes at least one magnetic storage medium configured to store target data and at least one re-configurable logic device comprising an FPGA coupled to the at least one magnetic storage medium and configured to read a continuous stream of target data therefrom, having been configured with a template or as otherwise desired to fit the type of search and data being searched. The re-configurable logic device is configured to receive at least one search inquiry in the form of a data key and to determine a match between the data key and the target data as it is being read from the at least one magnetic storage medium. This device and method can perform a variety of searches on the target data including without limitation exact and approximate match searches, sequence match searches, image match searches and data reduction searches. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN. In addition to performing search and data reduction operations, this device may also be used to perform a variety of other processing operations including encryption, decryption, compression, decompression, and combinations thereof.

Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image. In addition, each forward imaging transformation corresponds to the manner in which each imager in the imaging array generate the input images, and the high resolution image synthesized by the microprocessor has a resolution that is greater than any of the input images.

Methods of imaging objects based on wavelet retrieval of scenes utilize wavelet transformation of plural defined regions of a query image. By increasing the granularity of the query image to greater than one region, accurate feature vectors are obtained that allow for robust extraction of corresponding regions from a database of target images. The methods further include the use of sliding windows to decompose the query and target images into regions, and the clustering of the regions utilizing a novel similarity metric that ensures robust image matching in low response times.

Directions normal to images of an object captured by at least two cameras from different points of view are aligned with each other to form corrected object images, and a correspondence is determined between at least one pixel position on a horizontal line in one of the corrected object images and at least one pixel position on the same horizontal line in another of the corrected object images. The correspondence is determined by determining a similarity in brightness and color components at the pixel positions and a parallax between the corrected object images A robust, accurate image matching can be done by making dynamic matching between all pixels on a scan line in the images captured by the cameras.

Systems and methods for extended color processing on Pelican array cameras in accordance with embodiments of the invention are disclosed. In one embodiment, a method of generating a high resolution image includes obtaining input images, where a first set of images includes information in a first band of visible wavelengths and a second set of images includes information in a second band of visible wavelengths and non-visible wavelengths, determining an initial estimate by combining the first set of images into a first fused image, combining the second set of images into a second fused image, spatially registering the fused images, denoising the fused images using bilateral filters, normalizing the second fused image in the photometric reference space of the first fused image, combining the fused images, determining a high resolution image that when mapped through a forward imaging transformation matches the input images within at least one predetermined criterion.

A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and / or web link as a second medium). In one particular embodiment, the MMR system provides for multi-tier image matching.

A data storage and retrieval device and method is disclosed. The device includes at least one magnetic storage medium configured to store target data and at least one re-configurable logic device comprising an FPGA coupled to the at least one magnetic storage medium and configured to read a continuous stream of target data therefrom, having been configured with a template or as otherwise desired to fit the type of search and data being searched. The reconfigurable logic device is configured to receive at least one search inquiry in the form of a data key and to determine a match between the data key and the target data as it is being read from the at least one magnetic storage medium. This device and method can perform a variety of searches on the target data including without limitation exact and approximate match searches, sequence match searches, image match searches and data reduction searches. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN.

A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and / or web link as a second medium). In one particular embodiment, the MMR system provides for image matching portions of a document.

Method, apparatus and system for improving navigation using mobile devices by adding previously captured media to navigation maps provided by mobile device. Added media include still images and video clips. Media captured at the same location using various camera orientations are available in an image database. Images in database include metadata indicating location, orientation and other parameters associated with each image. User location and pose are matched against metadata indicating location and camera orientation of captured images. User motion may also be matched to metadata indicating camera motion of stored video clips. Other parameters like lighting, seasonal factors, and tasks of walking, biking or driving may also be matched. User pose may be derived from an accelerometer embedded in the mobile device. Some or all of user parameters desired by user may be directly input to mobile device by user instead of being automatically detected by mobile device.

A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and / or web link as a second medium). In one particular embodiment, the MMR system provides for position-based image matching.

The embodiment of the invention provides a human face similarity matching method which comprises the following steps of: obtaining a first human face image; extracting the feature data of a plurality of key points in the first human face image and a stored second human face image; searching a matched key point in the key points of the second human face image for each key point of the first human face image; calculating the score of the similarity between the key point of the first human face image and the key point of the second human face image matching with the key point of the first human face image; and inosculating each key point of the first human face image with the similarity score of the key point of the second human face image to judge whether the two are matched with each other.