Abstract: The disclosure includes a system and method for calibrating a binocular optical see-through augmented reality display. A calibration application renders a virtual object to overlay and align with a real-world object on the display, receives a depth between the real-world object and the eyes of the user, receives user input to move the virtual object on the display for depth-disparity calibration, and determines a mapping between the depth and the disparity.

Abstract: 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 includes a content-based retrieval database configured with an index table to represent two-dimensional geometric relationships between objects extracted from a printed document in a way that allows look-up using a text-based index. A ranked set of document, page and location hypotheses can be computed given data from the index table. The techniques effectively transform features detected in an image patch into textual terms (or other searchable features) that represent both the features themselves and the geometric relationship between them. A storage facility can be used to store additional characteristics about each document image patch.

Abstract: A method and apparatus is disclosed herein for controlling radio-frequency (RF) energy for wireless devices. In one embodiment, the method comprises determining to increase radio-frequency (RF) energy available to power a wireless tag and controlling the RF energy delivered to the wireless tag to provide tag energy, using one or more of: a) increasing transmission RF power of one or more wireless communication devices, b) increasing a duty cycle associated with wireless transmissions of one or more wireless communication devices, and c) decreasing path loss of the power to the wireless tag.

Abstract: Techniques for automatically comparing one or more objects determined from digital media content (e.g., an image, audio information, video information) to one or more objects specified by a machine readable identifier to determine if an object determined from the media content matches an object specified by the machine readable identifier. One or more actions may be initiated upon determining that an object determined from the media content matches an object specified by the machine readable identifier. Information identifying the action to be initiated may also be encapsulated by the machine readable identifier.

Abstract: A method for sequencing products on a retail shelf, or other objects, recognized in an image of the retail shelf includes detecting products in the received image and calculating a final sequence position for each detected product. The final sequence position is calculated by generating a region of interest for each detected product in the received image, generating a plurality of unique raster numbers for each region of interest using a raster number equation by varying parameters of the raster number equation based on pixel coordinates of each region of interest, determining a plurality of sequence positions for each region of interest using the plurality of unique raster numbers, and determining the final sequence position for each region of interest using the plurality of sequence positions for each region of interest. The disclosure also includes systems for implementing the method.

Abstract: The disclosure includes a system and method for distinguishing between items of similar appearance that vary in size. An image recognition application receives an image including a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, determines a dimension of the region of interest for each identified item in pixels, determines a plurality of pixel-to-physical dimension ratios for each identified item, identifies a selected pixel-to-physical dimension ratio among the plurality of pixel-to-physical dimension ratios, and determines a stock keeping unit identifier of each identified item in the image based on the selected pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.

Abstract: The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, the features in the query image are extracted and compared against those stored in the database to identify the query image. The feature extraction and recognition system of the present invention is integrated into a multifunction peripheral. This allows the feature extraction and recognition system to be used in conjunction with other modules to provide security and annotation applications.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: The techniques include an image recognition system to receive a realogram image including a plurality of organized objects and to detect and identify objects in the realogram image of one or more items on a retail shelf, identify shelf fronts and labels on the shelf fronts, identify empty space under shelves, identify areas where unidentified products may be, and identify areas where products are “out of stock”.

Abstract: A method is disclosed. The method includes receiving a request regarding a first document, retrieving a second document from a cache, the second document having a pre-existing relationship with the first document, extracting data from the second document image data, applying image processing to the first document using the extracted data from the second document image data to create a third document and printing the third document.

Abstract: A mixed media reality (MMR) system includes an MMR user, a MMR computer, a user printer that produces a printed document, a networked media server, an office portal, a service provider server, an electronic display that is electrically connected to a set-top box, a document scanner, a network, a capture device, a cellular infrastructure, wireless fidelity (Wi-Fi) technology, Bluetooth® technology, infrared (IR) technology, wired technology, and a geo location mechanism. The MMR system provides mechanisms for forming a mixed media document that includes media of at least two types, such as printed paper as a first medium and a digital photograph, digital movie, digital audio file, or web link as a second medium. Furthermore, the MMR system facilitates business methods that take advantage of the combination of a portable electronic device, voice mail or email, and a paper document.

Abstract: The disclosure includes a system and method for distinguishing between stock keeping units of similar appearance that vary in size. An image recognition application receives an image depicting a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, determines a pixel dimension of the region of interest for each identified item, determines whether one of the identified items in the image is a reference marker with a stored physical dimension, determines a pixel-to-physical dimension ratio for the reference marker using the dimension in pixels and stored physical dimension of the reference marker, and determines a stock keeping unit identifier of each identified item in the image based on the pixel-to-physical dimension ratio and the pixel dimension of the region of interest for each identified item.

Abstract: The disclosure includes a system and method for distinguishing between stock keeping units of similar appearance that vary in size. An image recognition application receives an image including a shelving unit stocking a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, identifies a physical dimension of a portion of region depicted in the image, determines a dimension of the region of interest for each identified item and the portion of region in pixels, determines a pixel-to-physical dimension ratio using the dimension in pixels of the portion of region and the physical dimension of the portion of region depicted in the image, and determines a stock keeping unit identifier of each identified item in the image based on the pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.

Abstract: The disclosure includes a system and method for identifying multiple items in an image. A image recognition application receives a query image of items, computes features of the query image, for each feature finds an indexed image with closest matched features in a database, determines that the shape of the matched features is geometrically consistent, determines whether the query image matches the indexed image, responsive to the query image matching the indexed image, returns inliers, determines a region of interest where the match was found in the query image, removes inliers from the set of features to reduce the set of features and returns all matches found when the query image fails to match the indexed image.

Abstract: An MMR system for publishing comprises a plurality of mobile devices, an MMR gateway, an MMR matching unit, and an MMR publisher. A computer includes a document authoring application, plug-in, and printer driver. The MMR matching unit receives an image query from the MMR gateway and sends it to one or more of the recognition units to identify a result including a document, the page and the location on the page. The list of results and links are sent back to the MMR gateway for presentation on the mobile device. The present invention also includes a number of novel methods including a method for capturing symbolic information from documents and for capturing printer dll functions.

Abstract: A method and apparatus for summarizing a session are described. In one embodiment, the system associates strokes with image data and comprises: a display surface; a memory coupled to the display surface to store stroke contexts for a plurality of strokes, wherein each stroke context represents an association between at least one stroke and a portion of image data previously displayed; a stroke capture module operable with the display surface and communicably coupled with the memory to capture one or more strokes written over image data presented on the display surface; and a summarization unit coupled to the memory to generate a summary of a session based on content displayed during the session containing one or more strokes made during the session.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: The disclosure includes a system and method for switching between video views and data views. The system includes a controller, a view presentation module, a screen detection module and a view switching module. The controller receives data indicating a participant joined a multi-user communication session. The view presentation module presents a video stream on a mobile device associated with the participant. The screen detection module determines an occurrence of a detection trigger event. The controller receives a video frame image responsive to the occurrence of the detection trigger event. The screen detection module detects a data screen in the video frame image. The view switching module switches a view on the mobile device from video view to data view responsive to a natural gesture performed by the participant. The view presentation module presents a data stream associated with the data screen on the mobile device.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.