BackgroundCheck.run
Search For

Huy M Bui, 565724 Delbarton Ct, Raleigh, NC 27606

Known as:
Huy Manh Bui Huy H Bui Huy M Huy Huy M Bul Huy Biu Bui Huy
Related to:
Thanh V Bui 63

Huy Bui Phones & Addresses

5724 Delbarton Ct, Raleigh, NC 27606   

6 Thorton Ct, Durham, NC 27703    919-2373074   

8382 Timberlake Green Dr, Mechanicsvlle, VA 23111    804-5592973    804-5599281    804-5699336   

8115 Solitude Ln, Mechanicsville, VA 23111    804-5599281   

9272 Hanover Crossing Dr, Mechanicsville, VA 23116    804-5599281   

Falls Church, VA   

Piscataway, NJ   

Work

Company: Profiles hair studio & spa - Gaithersburg, MD Mar 2013 Position: Nail technician

Education

School / High School: University of Maryland- College Park, MD Sep 2009
Get Report
Control this profile

Mentions for Huy M Bui

Huy Bui resumes & CV records

Resumes

Huy Bui Photo 39

Huy Bui - Silver Spring, MD

Work:
Profiles Hair Studio & Spa - Gaithersburg, MD Mar 2013 to Aug 2013
Nail Technician Magnolia Salon & Spa - Rockville, MD Feb 2012 to Jan 2013
Nail Technician Nail Art by Kim - Silver Spring, MD Sep 2008 to Nov 2011
Nail Technician Amos Associates - Silver Spring, MD Feb 2006 to Jun 2008
Independent Contractor

Publications & IP owners

Us Patents

Keyframe-Based Object Scanning And Tracking

US Patent:
2019036, Nov 28, 2019
Filed:
May 24, 2019
Appl. No.:
16/421822
Inventors:
- McLean VA, US
Ken Lee - Fairfax VA, US
Xin Hou - McLean VA, US
Jun Yin - McLean VA, US
Huy Bui - McLean VA, US
International Classification:
G06K 9/00
G06T 7/73
G06T 17/20
G06N 20/00
G06N 3/08
G06K 9/62
Abstract:
Described herein are methods and systems for keyframe-based object scanning and tracking. A sensor device captures images of objects in a scene. For each image, a computing device labels each of at least a plurality of pixels in the image, tracks at least one region of the labeled image to determine an estimate of a current pose of at least one object, validates the estimate of the current pose of the at least one object, selects the labeled image as a keyframe based upon validation of the estimate of the current pose, and updates a volumetric model comprising the at least one object using the keyframe. The computing device generates a final 3D model of the at least one object based upon the updated volumetric model.

Combining Sparse Two-Dimensional (2D) And Dense Three-Dimensional (3D) Tracking

US Patent:
2019007, Mar 7, 2019
Filed:
Sep 6, 2018
Appl. No.:
16/123256
Inventors:
- McLean VA, US
Huy Bui - McLean VA, US
Xin Hou - Herndon VA, US
Craig Cambias - Silver Spring MD, US
International Classification:
G06T 7/70
G06T 7/20
G06T 11/60
Abstract:
Described are methods and systems for combining sparse two-dimensional (2D) and dense three-dimensional (3D) tracking of objects. A 3D sensor coupled to a computing device captures 3D scans of a physical object, including related pose information, and one or more color images corresponding to each 3D scan. For each 3D scan: the computing device establishes initial sparse 2D correspondences between a current loose frame and one or more of: a last tracked loose frame or a current keyframe. The computing device determines an approximate pose based upon the initial sparse 2D correspondences. The computing device establishes initial dense 3D correspondences between the current loose frame and an anchor frame, and combines the initial sparse 2D correspondences and the initial dense 3D correspondences to generate an estimated pose of the object in the scene.

Enhancing Depth Sensor-Based 3D Geometry Reconstruction With Photogrammetry

US Patent:
2019007, Mar 7, 2019
Filed:
Aug 31, 2018
Appl. No.:
16/118894
Inventors:
- McLean VA, US
Huy Bui - McLean VA, US
International Classification:
G06T 17/20
G06T 19/20
Abstract:
Described are methods and systems for enhancing depth sensor-based 3D geometry reconstruction with photogrammetry. A 3D sensor captures scans of a physical object, including related pose information and HD images corresponding to each scan. For each scan, a computing device generates an initial 3D model of the physical object, the initial model having missing sections. The computing device detects the missing sections in a 3D point cloud associated with the initial model and projects the missing sections in the point cloud to a corresponding HD image. The computing device generates image segments of the corresponding HD image that match the missing sections in the point cloud, generates a point cloud structure for each of the image segments of the corresponding HD image, and merges the initial model and the generated point cloud structures to generate a final 3D model with the missing sections filled in.

Isbn (Books And Publications)

Mecanique De La Rupture Fragile

Author:
Huy Duong Bui
ISBN #:
2225483124

Inverse Problems In Engineering Mechanics: Iutam Symposium, Tokyo, 1992

Author:
Huy Duong Bui
ISBN #:
3540563458

Possible Relatives

David L Bui  De Q Bui  Dan Q Bui  Dang T Bui  Daniel A Bui  Danny P Bui  Dennis Bui  Huy Q Kim  Huy Le  Huy Lim 

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.