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Diego Socolinsky Phones & Addresses

  • 609 Kenwood Ave, Baltimore, MD 21224
  • 403 Charles St, Baltimore, MD 21201
  • 15 Preston St, Baltimore, MD 21201

Publications

Us Patents

Method And Apparatus For Using Thermal Infrared For Face Recognition

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US Patent:
7406184, Jul 29, 2008
Filed:
Jul 3, 2003
Appl. No.:
10/611859
Inventors:
Lawrence B. Wolff - New York NY,
Diego A. Socolinsky - Baltimore MD,
Christopher K. Eveland - Baltimore MD,
Andrea Selinger - Princeton NJ,
Joshua D. Neuheisel - Hampstead MD,
Assignee:
Equinox Corporation - New York NY
International Classification:
G06K 9/00
US Classification:
382118, 382128, 382115
Abstract:
A methodology and apparatus is described that incorporates the use of thermal infrared imaging into a complete end-to-end face recognition system. Since thermal infrared primarily images emissive phenomenology there are advantages over video imaging in the reflective domain (e. g. , visible, near-infrared) for face recognition, particularly with respect to image invariance in the presence of varying illumination incident on the subject. On the other hand video cameras in the reflective domain provide important image detail not apparent in thermal infrared imagery. Fusion of thermal infrared imagery with reflective domain (e. g. , visible, near-infrared) imagery provides even further advantages. Embodiments of such systems that incorporate thermal infrared imaging for automatic face recognition are important for access control, verification, identification, and surveillance and monitoring.

Color Invariant Image Fusion Of Visible And Thermal Infrared Video

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US Patent:
7620265, Nov 17, 2009
Filed:
Apr 12, 2005
Appl. No.:
11/103640
Inventors:
Lawrence B. Wolff - New York NY,
Diego A. Socolinsky - Baltimore MD,
Christopher K. Eveland - Baltimore MD,
Assignee:
Equinox Corporation - New York NY
International Classification:
G06K 9/40
G06K 9/36
US Classification:
382276, 382254, 382284
Abstract:
A methodology for forming a composite color image fusion from a set of N gray level images takes advantage of the natural decomposition of color spaces into 2-D chromaticity planes and 1-D intensity. This is applied to the color fusion of thermal infrared and reflective domain (e. g. , visible) images whereby chromaticity representation of this fusion is invariant to changes in reflective illumination.

Method And Apparatus For Dynamic Image Registration

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US Patent:
8587659, Nov 19, 2013
Filed:
May 7, 2008
Appl. No.:
12/116843
Inventors:
Diego A. Socolinsky - Baltimore MD,
Joshua Neuheisel - Baltimore MD,
Lawrence B. Wolff - New York NY,
Assignee:
Equinox Corporation - New York NY
International Classification:
H04N 7/18
US Classification:
348158, 318 47, 318 68, 318208, 318222, 318333
Abstract:
A methodology and apparatus is described that registers images outputted by at least two video camera sensors that are not necessarily bore-sighted nor co-located together. Preferably this can be performed in real-time at least at video rate. The two video camera sensors can be either of similar or two different modalities (e. g. , one can be intensified visible, while the other can be thermal infrared) each possibly with a different field-of-view. The methodology and apparatus take advantage of a combination of Inertial Measurement Units (IMUs) information and image registration between the two camera sensors from computational image processing. In one preferred embodiment, the system uses a rifle mounted weapon sight camera sensor and a helmet mounted sensor camera. The aim point of the weapon sight camera sensor (e. g. , typically at the image center) zeroed to the true rifle aim point is digitally overlayed as a reticle on the video image from the helmet sensor, displayed on a head mounted display (HMD).

Visualization Of Local Contrast For N-Dimensional Image Data

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US Patent:
6539126, Mar 25, 2003
Filed:
Apr 16, 1999
Appl. No.:
09/292740
Inventors:
Diego A. Socolinsky - Baltimore MD
Lawrence B. Wolff - New York NY
Assignee:
Equinox Corporation - New York NY
International Classification:
G06T 500
US Classification:
382274, 345617, 382154
Abstract:
A method is presented for the treatment and visualization of local contrast in n-dimensional multispectral images, which directly applies to n-dimensional multisensor images as well. A 2×2 matrix called the contrast form is defined comprised of the first derivatives of the n-dimenional image function with respect to the image plane, and a local metric defined on n-dimensional photometric space. The largest eigenvector of this 2×2 contrast form encodes the inherent local contrast at each point on the image plane. It is shown how a scalar intensity function defined on n-dimensional photometric space is used to select a preferred orientation for this eigenvector at each image point in the n-dimensional image defining the contrast vector field for an n-dimensional image. A grey level visualization of local n-dimensional image contrast is produced by the greylevel image intensity function such that the sum of the square difference between the components of the gradient vector of this intensity function and the components of the contrast vector field is minimized across the image plane. This is achieved by solving the corresponding Euler-Lagrange equations for this variational problem.
Diego A Socolinsky from Baltimore, MD, age ~48 Get Report