MICHAEL FONG-JAY LIN
Pilots at James Rd, Palo Alto, CA
License number
California A5003133
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
487 James Rd APT 104, Palo Alto, CA 94306
Professional information
Michael Chih-Shun Lin, Stanford CA
Specialties:
Dentist
Address:
300 Pasteur Dr, Stanford, CA 94305
333 W El Camino Real, Sunnyvale, CA 94087
333 W El Camino Real, Sunnyvale, CA 94087
Three Dimensional Object Pose Estimation Which Employs Dense Depth Information
US Patent:
7158656, Jan 2, 2007
Filed:
Aug 1, 2005
Appl. No.:
11/195039
Inventors:
Michele M. Covell - Los Altos Hills CA, US
Michael Hongmai Lin - Stanford CA, US
Ali Rahimi - Belmont CA, US
Michael Harville - Palo Alto CA, US
Trevor J. Darrell - San Francisco CA, US
John I. Woodfill - Palo Alto CA, US
Harlyn Baker - Los Altos CA, US
Gaile G. Gordon - Palo Alto CA, US
Michael Hongmai Lin - Stanford CA, US
Ali Rahimi - Belmont CA, US
Michael Harville - Palo Alto CA, US
Trevor J. Darrell - San Francisco CA, US
John I. Woodfill - Palo Alto CA, US
Harlyn Baker - Los Altos CA, US
Gaile G. Gordon - Palo Alto CA, US
Assignee:
Vulcan Patents LLC - Seattle WA
International Classification:
G06K 9/00
US Classification:
382106, 382103, 382107, 348139
Abstract:
Dense range data obtained at real-time rates is employed to estimate the pose of an articulated figure. In one approach, the range data is used in combination with a model of connected patches. Each patch is the planar convex hull of two circles, and a recursive procedure is carried out to determine an estimate of pose which most closely correlates to the range data. In another aspect of the invention, the dense range data is used in conjunction with image intensity information to improve pose tracking performance. The range information is used to determine the shape of an object, rather than assume a generic model or estimate structure from motion. In this aspect of the invention, a depth constraint equation, which is a counterpart to the classic brightness change constraint equation, is employed. Both constraints are used to jointly solve for motion estimates.
Three Dimensional Object Pose Estimation Which Employs Dense Depth Information
US Patent:
7003134, Feb 21, 2006
Filed:
Mar 8, 2000
Appl. No.:
09/520964
Inventors:
Michele M. Covell - Los Altos Hills CA, US
Michael Hongmai Lin - Stanford CA, US
Ali Rahimi - Belmont CA, US
Michael Harville - Palo Alto CA, US
Trevor J. Darrell - San Francisco CA, US
John I. Woodfill - Palo Alto CA, US
Harlyn Baker - Los Altos CA, US
Gaile G. Gordon - Palo Alto CA, US
Michael Hongmai Lin - Stanford CA, US
Ali Rahimi - Belmont CA, US
Michael Harville - Palo Alto CA, US
Trevor J. Darrell - San Francisco CA, US
John I. Woodfill - Palo Alto CA, US
Harlyn Baker - Los Altos CA, US
Gaile G. Gordon - Palo Alto CA, US
Assignee:
Vulcan Patents LLC - Seattle WA
International Classification:
G06K 9/00
US Classification:
382103, 382106, 382107
Abstract:
Dense range data obtained at real-time rates is employed to estimate the pose of an articulated figure. In one approach, the range data is used in combination with a model of connected patches. Each patch is the planar convex hull of two circles, and a recursive procedure is carried out to determine an estimate of pose which most closely correlates to the range data. In another aspect of the invention, the dense range data is used in conjunction with image intensity information to improve pose tracking performance. The range information is used to determine the shape of an object, rather than assume a generic model or estimate structure from motion. In this aspect of the invention, a depth constraint equation, which is a counterpart to the classic brightness change constraint equation, is employed. Both constraints are used to jointly solve for motion estimates.
Far-Red Fluorescent Proteins With Improved Detectability By Red Excitation Light
US Patent:
2014005, Feb 27, 2014
Filed:
Mar 6, 2013
Appl. No.:
13/787257
Inventors:
The Board of Trustee of the Leland Stanford Junior University - , US
Michael Z. Lin - Stanford CA, US
Michael Z. Lin - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
C07K 14/435
US Classification:
530350
Abstract:
Aspects of the present disclosure are directed towards far-red monomeric fluorescent proteins that have a high level of brightness such that the proteins are visible over the autofluorescence aspects of tissue. In certain embodiments, the fluorescent proteins are derived from The fluorescent proteins are implantable in the cell and can be excited by light of at least 600 nm.
Optical Control Of Protein Activity And Localization By Fusion To Photochromic Protein Domains
US Patent:
2013025, Sep 26, 2013
Filed:
Mar 21, 2013
Appl. No.:
13/848346
Inventors:
The Board of Trustees of the Leland Stanford Junior University - , US
Michael Z. Lin - Stanford CA, US
Michael Z. Lin - Stanford CA, US
Assignee:
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:
C07K 14/00
US Classification:
435 697, 530350, 435188, 435375, 536 234, 435358, 435367, 435352, 435365, 435370, 4352523, 43525233, 43525231, 4352542, 43525421, 43525422, 43525423, 435348
Abstract:
Engineered fusion proteins comprising photochromic protein domains are disclosed. In particular, the inventors have constructed fusion proteins containing photoswitchable photochromic fluorescent protein domains linked to selected proteins and shown that such fusion proteins can be used to control the activity or localization of selected proteins with light.