Richard Kent Ford has over 20 years of experience managing highly classified programs and personnel for the Department of the Navy. He has led teams overseeing access to classified information and continuity of operations planning. Ford also directed the construction of secure facilities and managed multi-million dollar budgets. His experience includes positions as a Security Division Director, Assistant for Special Programs, and Chief of Staff for operations.
Implementation of high performance feature extraction method using oriented f...eSAT Journals
Abstract
Feature-based image matching is an important characteristic in many computer based applications such as object recognition, 3D stereo reconstruction, structure-from-motion and images stitching. These applications require a lot real-time performance. Feature based algorithms are well-suited for such operations. Different algorithms are used for image processing like Scale-invariant feature transform (SIFT), Speeded up Robust Features (SURF), Oriented FAST and Rotated BRIEF (ORB). ORB is one of the fast binary descriptor which is relying on BRIEF, where the BRIEF is rotation invariant and resistant to noise. This paper gives the advantages of rotation invariance and scale invariance of ORB algorithm for object detection technique. Query based object detection method is explained in this paper for object detection with efficient computation time. Different experimental results prove the scale invariance and rotation in variance of ORB in query based object detection method.
Keywords: ORB, BRIEF, SIFT, SURF
2AM Amsterdam: A Blueprint for Assessing Societal Impact Through Public Engag...JBorrow
Produced for the 2AM Amsterdam conference by Josh Borrow (@JBorrow) and Pedro Russo (@pruss). Presents a new public engagement appraisal scheme and asks for help from the Altmetrics community.
Content Based Image Retrieval (CBIR) is one of the
most active in the current research field of multimedia retrieval.
It retrieves the images from the large databases based on images
feature like color, texture and shape. In this paper, Image
retrieval based on multi feature fusion is achieved by color and
texture features as well as the similarity measures are
investigated. The work of color feature extraction is obtained by
using Quadratic Distance and texture features by using Pyramid
Structure Wavelet Transforms and Gray level co-occurrence
matrix. We are comparing all these methods for best image
retrieval
Implementation of high performance feature extraction method using oriented f...eSAT Journals
Abstract
Feature-based image matching is an important characteristic in many computer based applications such as object recognition, 3D stereo reconstruction, structure-from-motion and images stitching. These applications require a lot real-time performance. Feature based algorithms are well-suited for such operations. Different algorithms are used for image processing like Scale-invariant feature transform (SIFT), Speeded up Robust Features (SURF), Oriented FAST and Rotated BRIEF (ORB). ORB is one of the fast binary descriptor which is relying on BRIEF, where the BRIEF is rotation invariant and resistant to noise. This paper gives the advantages of rotation invariance and scale invariance of ORB algorithm for object detection technique. Query based object detection method is explained in this paper for object detection with efficient computation time. Different experimental results prove the scale invariance and rotation in variance of ORB in query based object detection method.
Keywords: ORB, BRIEF, SIFT, SURF
2AM Amsterdam: A Blueprint for Assessing Societal Impact Through Public Engag...JBorrow
Produced for the 2AM Amsterdam conference by Josh Borrow (@JBorrow) and Pedro Russo (@pruss). Presents a new public engagement appraisal scheme and asks for help from the Altmetrics community.
Content Based Image Retrieval (CBIR) is one of the
most active in the current research field of multimedia retrieval.
It retrieves the images from the large databases based on images
feature like color, texture and shape. In this paper, Image
retrieval based on multi feature fusion is achieved by color and
texture features as well as the similarity measures are
investigated. The work of color feature extraction is obtained by
using Quadratic Distance and texture features by using Pyramid
Structure Wavelet Transforms and Gray level co-occurrence
matrix. We are comparing all these methods for best image
retrieval
1. Richard Kent Ford
703-426-1938
rkford761@gmail.com
https://www.linkedin.com/in/richardkford2
Summary
Highly knowledgeable, skilled, and dedicated leader with proven experience in
personnel and budget management.
Professional Experience :
Security Division Director in the Office of the Department of the Navy Assistant
for Administration. July 2010 – May 2015
Led a staff of five personnel to manage access and control of highly classified
national intelligence information for a staff of over 3,000 personnel including
senior leadership of the Department of the Navy meeting customer
requirements for clearances and access.
Restarted efforts to establish a continuity of operations program for the
senior leadership of the Navy tomeet federal requirements and ensure
primary mission essential functions could continue during a wide range of
emergencies. Prepared and presented briefings to senior leadership on
analysis of options and recommendations.
Coordinated with internal and external organizations in the development of
continuity of operations plans and policies. Oversight of Secretariat
execution of continuity of operations to meet federal requirements.
Developed an innovative solution for improved communications capabilities
to support primary mission essential functions with no dedicated budget.
Directed the construction of four highly specialized secure facilities as the
project manager to meet growing customer demand. Coordinated customer
requirements with the commercial building owners, contractors, internal
government staff, and other government agencies with a budget of over
$500,000 for each site.
Assistant for Special Programs in the Office of the Deputy Under Secretary of
the Navy. April 2009 – June 2010
Led a three person staff responsible for the compliance and oversight of
Department of the Navy sensitive activities and special access programs.
Managed highly specialized secure facilities in support of the Secretary of the
Navy staff.
Chief of Staff, Operations Integration Group, Office of the Deputy Under
Secretary of the Navy. September 2007 – March 2009
Directed daily operations and coordinated future planning for a 28 person
staff ensuring organization goals and policies were met.
Managed a $5 million budget for operations and equipment.
Coordinated with other Department of Defense organizations and non-DoD
federal departments and agencies to meet national requirements.
2. Richard Kent Ford
Page 2
Assistant for Special Programs and Intelligence in the Office of the Under
Secretary of the Navy. June 2005 – August 2007
Reported directly to the Under Secretary of the Navy with a staff of one
person.
Led compliance and oversight for Department of the Navy Special Access
Programs and sensitive activities.
Deputy Program Director, Defense Liaison Division (DLD), US Navy Staff.
June 2002 – July 2005
Directly supervised 50 senior government and contractor personnel working
on five separate projects. Managed an annual budget in excess of $50
million. Ensured program objectives were coordinated with budget
strategies.
Successfully coordinated various aspects of strategic and tactical global
operations for a major national level, highly classified program with
numerous government agencies both within and outside the Department of
Defense.
Education:
Master of Science in National Resource Strategy (Distinguished Graduate),
June 2000, Industrial College of the Armed Forces (ICAF), National Defense
University, Washington, D.C.
Master of Science in Systems Knowledge, April 1980, Naval Postgraduate
School, Monterey, CA
Bachelor of Arts in Chemistry, May 1975, The Citadel, Charleston, SC
Training and Certificates:
Continuity of Operations (COOP) Program Managers Train-the-Trainer.
October, 2010.
Lean Six Sigma Green Belt. September 2007.
Other Qualifications:
Expert in Microsoft Office including Word, Excel, PowerPoint, and Outlook.
Strong technical skills in hardware and software. Knowledgeable in Adobe
Acrobat.
Excellent written and oral communications skills.
Able to coordinate internally and externally with customers and stakeholders
to achieve goals.
Knowledgeable in social media to include Twitter, Facebook, and Google+.