Sharp Laboratories of America, Inc

Other

Logitech Europe S.a.

Richard John Campbell

Ahmet Mufit Ferman

Toyohisa Matsuda

John Edward Dolan

Lawrence Shao-hsien Chen

Jon Matthew Speigle

Ching-Wei Chang

Ronnie Neil Patton

George Miller

Oleg Ostap

Dana Smith

Joseph Yao-Hua Chu

Kristopher Glenn Perry

A Mufit Ferman

Steven P Venia

Miguel Angel Maestre Trueba

Yu Loh

Anurag Bansal

Michael James Heilmann

Fu Han Chao

A system and method for providing video conferencing are described herein. Original video streams from one or more cameras are sampled to form downscaled versions of the video stream. The downscaled version is analyzed to find regions of interest and generate metadata describing aspects of the regions of interest, including a region that includes a preferred speaker and the best view of each participant present together in the video conference. Cropping instructions are generated from the metadata, and portions of the original video stream are removed to form a set of presentation views for each participant, including the preferred speaker. The set of presentation views is stitched together to form a composite display for each participant viewing the stream remotely.

Parallel processing of digital images

A system and method are provided for the correction of a warped page image. The method first accepts a camera image of a page, creates a filtered edge map, and identifies text-likely regions. The filtered edge map and text-likely regions are projected into a polar coordinate system to determine page lines and warped image page curves. An adaptive two-dimensional (2D) ruled mesh piecewise planar approximation of a warped page surface is created. A three-dimensional (3D) model is created using the adaptive 2D ruled mesh and the estimate of the camera focal length estimate. Using the 3D model, a 2D target mesh is created for rectifying the image of the page. In one aspect, the adaptive 2D ruled mesh is projected onto a 3D warped page surface using the estimated camera focal length and an estimated surface normal of each planar strip from the adaptive 2D ruled mesh.

System and method for scanned document correction

A system and method are provided for normalizing a camera focal length. A perspective geometry estimator accepts a scanned image from a camera having an undefined focal length, and generates a normalized focal length estimate for the image. The normalized focal length estimate is compared to a normalized focal length density distribution. If the normalized focal length estimate meets a minimum threshold of probability, the normalized focal length estimate is selected and the image is processed using the selected normalized focal length estimate. If the normalized focal length estimate fails to meet the minimum threshold of probability, the image is processed using the highest probability prior normalized focal length from the normalized focal length density distribution.

System and method for normalized focal length profiling

Aspects of the present invention are related to systems, methods and apparatus for boundary detection, in an image, by suppression of contours resulting from background textures and text in the image.

Methods and systems for suppressing non-document-boundary contours in an image

Aspects of the present invention are related to systems, methods and apparatus for correcting artifacts in a camera-captured document image and, in particular, to methods, systems and apparatus for correcting perspective distortion in the camera-captured document image. Multiple rectification hypothesis may be generated and verified based on a plurality of geometric rectification quality measure values. In particular, a first rectification hypothesis may be associated with a first bounding quadrilateral determined by estimation of horizontal and vertical vanishing information.

Methods, systems and apparatus for correcting perspective distortion in a document image

Aspects of the present invention are related to systems and methods for correcting artifacts in a camera-captured image of a document or image of an object exhibiting document-like content. A mobile device may capture an image and send the image to a cloud computing system for processing. According to a first aspect of the present invention, the mobile device may provide real-time feedback cues to assist in the capture of an image. The mobile device may detect a region-of-interest in the captured image, and a user may refine or confirm the detected region-of-interest. The captured image, information identifying the region-of-interest and a metadata tag, referred to as a region-of-interest modification tag, indicating whether, or not, the region-of-interest was refined by a user may be sent to the cloud. The cloud may process the image giving priority to the region-of-interest received from the handset when the region-of-interest modification tag indicates that the region-of-interest was refined by a user over a cloud determined region-of-interest. The cloud may transmit, to the handset, the processing results.

Methods and systems for mobile document acquisition and enhancement

Aspects of the present invention relate to methods and systems for capturing, sharing and recording the information on a collaborative writing surface. According to a first aspect of the present invention, currently persistent collaborative-writing-surface content may be imaged during periods of occlusion by an occluder. According to a second aspect of the present invention, the occluder may be imaged as transparent allowing the visibility of the occluded currently persistent collaborative-writing-surface content. According to a third aspect of the present invention, the occluder may be imaged as a silhouette allowing visibility of the occluded currently persistent collaborative-writing-surface content.

Methods and systems for collaborative-writing-surface image formation

Embodiments of the present invention comprise systems, methods and devices for detection of pictorial regions in an image using a masking condition, an entropy measure, and region growing.

Methods and systems for detecting pictorial regions in digital images

Aspects of the present invention are related to systems and methods for correcting illumination and vignette in a camera-captured document image. A background type may be detected from down-sampled luminance image associated with the camera-captured image, and model parameters may be estimated for a morphologically filtered version of the down-sampled luminance image, wherein the morphological filter may be based on the detected background type. The model parameters may be verified and if deemed acceptable, a rectified image may be formed.

Methods and systems for document-image correction

Aspects of the present invention are related to systems and methods for scanning a document wherein a scan function is invoked implicitly by a user positioning a document object, or document objects, to be scanned near an active surface of the scanner. According to one aspect of the present invention, the user's intent to scan a document object may be determined by an active-sensing pipeline.

Methods and systems for no-touch scanning

Embodiments of the present invention comprise methods and systems for identifying uniformly colored regions in a digital image.

Methods and systems for identifying regions of substantially uniform color in a digital image

Aspects of the present invention are related to systems and methods for determining the location of numerals in an electronic document image.

Methods and systems for detecting numerals in a digital image

Aspects of the present invention relate to methods and systems for segmenting a digital image into regions. A frequency-of-occurrence of image values may be determined excluding a portion of pixels in a digital image. An image value associated with a peak in the frequency-of-occurrence of image values may be identified and associated with an image label. Pixel locations may be labeled based on the associated labels and image values. Additionally, unreliable pixels may be determined and labeled based on the associated labels and image values, and an unreliable pixel may be assigned a label after multiple scan passes of a classification map.

Methods and systems for segmenting a digital image into regions

Aspects of the present invention relate to methods and systems for determining image characteristics in a digital image.

Methods and systems for identifying digital image characteristics

Aspects of the present invention are related to systems and methods for connected-component labeling.

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Camas, WA, United States of America

Richard John Campbell