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Andrew C. Gallagher
Researcher at Google
Publications - 253
Citations - 9013
Andrew C. Gallagher is an academic researcher from Google. The author has contributed to research in topics: Digital image & Pixel. The author has an hindex of 51, co-authored 250 publications receiving 8616 citations. Previous affiliations of Andrew C. Gallagher include Eastman Kodak Company & OmniVision Technologies.
Papers
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Journal ArticleDOI
3D Reasoning from Blocks to Stability
TL;DR: This paper proposes a new algorithm to parse a single RGB-D image with 3D block units while jointly reasoning about the segments, volumes, supporting relationships, and object stability, and designs an energy function for representing the quality of the block representation based on these properties.
Patent
Classifying image regions based on picture location
Jiebo Luo,Andrew C. Gallagher +1 more
TL;DR: A method of classifying regions in a digital image or video captured by an image capture device includes providing a geographic location determining device associated with the image capture devices, using the location determining devices to measure the image-capture location at substantially the time that the digital image and video was captured as mentioned in this paper.
Proceedings ArticleDOI
Semi-automatic assembly of real cross-cut shredded documents
TL;DR: A semi-automatic approach for cross-cut shredded document reassembly with automatic algorithms proposed for segmenting and orienting individual shreds from a scanned shred image, as well as for computing features and ranking potential matches for each shred.
Patent
Multiple lens camera providing a range map
John Norvold Border,Amy Dawn Enge,Efrain O. Morales,Bruce Harold Pillman,Keith A. Jacoby,James E. Adams,Russell J. Palum,Andrew C. Gallagher +7 more
TL;DR: In this article, an electronic camera for producing an output image of a scene from a captured image signal includes a first imaging stage comprising a first image sensor for generating a first sensor output and a first lens for forming a first images of the scene on the first sensor, and a second imaging stage consisting of a second image sensor, where the lenses have different focal lengths.
Patent
Estimating aesthetic quality of digital images
TL;DR: In this article, a method for estimating the aesthetic quality of an input digital image comprising using a digital image processor for performing the following: determining one or more vanishing points associated with the input digital images by automatically analyzing the digital image; computing a compositional model from at least the positions of the vanishing point(s); and producing an aesthetic quality parameter for the image responsive to the model.