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 titleauthorsabstracttypejournalpublished year
DetailsShapes Of Features and A
Modified Measure For
Linear Discriminant
Analysis
Cem Ünsalan, Aytül
Erçil
In this paper the problem of selecting most representative
features among a feature set is considered Two
new feature selection algorithms are introduced
and their performances are compared
ReportBogazici University2000
DetailsAutomated Tolerance
Inspection Using Impicit
And Parametric
Representations Of Object
Boundaries
Cem Ünsalan, Aytül
Erçil
In this paper two approaches of Automated
Tolerance Inspection will be proposed and
evaluated to see whether they are reliable consistent
robust and applicable in an industrial ...
ReportBogazici University2000
DetailsConversions Between
Parametric Curves
Aproximated by Fourier
Series and Implicit
Polynomials/Functions
Cem Ünsalan, Aytül
Erçil
Since parametric and implicit forms have complementary
advantages with respect to certain geometric
operations it can be useful to convert from
one form to the other In this ...
ReportBogazici University1999
DetailsA New Robust and Fast
Implicit Polynomial
Fitting
Cem Ünsalan, Aytül
Erçil
In this paper Fourier series expansion of polar
representation of an object contour is used
to obtain robust and fast implicit polynomial fittings
for star shaped objects in 2D and 3D
ReportBogazici University1998
DetailsConversions between
Parametric and Implicit
Forms using
Polar/Spherical
Coordinate
Representations
Cem Ünsalan, Aytül
Erçil
Conversions between parametric and implicit
forms of curves are considered A new method
is introduced to convert parametric form
of a curve to a corresponding implicit ...
ReportBogazici University1998
DetailsFourier Series
Representation for
Implicit Polynomial
Fitting
Cem Ünsalan, Aytül
Erçil
In this paper a new fitting method is introduced
to approximate shape of 2D and 3D objects
This new method is called Fourier Series Fitting
Using polar spherical coordinates ...
ReportBogazici University1998
DetailsClassification of Rust
Grades on Steel Surfaces,
Part III
Cem Ünsalan, Aytül
Erçil
Classification of steel surfaces according to their
surface properties is considered in this paper
For this purpose three statistical pattern
recognition and two artificial neural ...
ReportBogazici University1998
DetailsClassification of Rust
Grades on Steel Surfaces,
Part II
Cem Ünsalan, Aytül
Erçil
Selecting most representative features among a huge
feature set is considered in this paper One
feature extraction and five feature selection
algorithms are tested on features ...
ReportBogazici University1998
DetailsClassification of Rust
Grades on Steel Surfaces,
Part I
Cem Ünsalan, Aytül
Erçil
The problem of extracting features for automatic
classification of rust grades on steel surfaces
is considered in this paper Various methods
are studied to extract ...
ReportBogazici University1997
DetailsDefect Inspection of Wood
Surfaces
Cem Ünsalan, Aytül
Erçil
The automatic classification of wood surfaces
are considered in detail The automation
improves the operation in many ways The results
are interpreted and considered in detail ...
ReportBogazici University1997
DetailsFacial Expression
Recognition
Cemre ZorFace expression analysis and recognition has been
one of the fast developing areas due to its wide
range of application areas such as emotion
analysis biometrics image retrieval and
Thesis 2008
DetailsUpper Facial Action Unit
Recognition
Cemre Zor, Terry WindeattThis paper concentrates on the comparisons of systems
that are used for the recognition of expressions
generated by six upper face action units (AUs) by
using Facial Action Coding System (FACS) ...
Conference PaperICB09 - International
Conference on Biometrics
2009
2009
DetailsCombining Implicit
Polynomials and Geometric
Features for Hand
Recognition
Cenker Öden, Aytül
Erçil and Burak Büke
Person identification and verification using biometric
methods is getting more and more important in today’
s information society Hand recognition is a promising
biometric because of its ...
Journal PaperPattern Recognition
Letters
2003
DetailsHand Recognition Using
Implicit Polynomials and
Geometric Features
Cenker Öden, Aytül
Erçil, Vedat Taylan
Yıldız, Hikmet
Kırmızıta, and Burak
Büke
Person identification and verification using biometric
methods is getting more and more important in today's
information society resulting in increased utilization
of systems that combine high ...
Conference PaperProceeding of the Third
International Conference
for Audio-And Video-Based
Biometric Person
Authentication
2001
DetailsÖrtük Çokterimliler ve
Geometrik Özelliklerle
El Tanima
Cenker Öden, Aytül
Erçil, Vedat Taylan
Yildiz, Hikmet Kirmizita,
and Burak Büke
 Conference PaperBilisim Zirvesi 2001 
DetailsVessel tractography using
an intensity based tensor
model with branch
detection
Cetin S, Demir A, Yezzi
A, Degertekin M, Unal G.
In this paper we present a tubular structure segmentation
method that utilizes a second order tensor constructed
from directional intensity measurements which is
inspired from diffusion tensor ...
Journal PaperIEEE Trans Med Imaging.
2013 Feb;32(2):348-63.
doi:
10.1109/TMI.2012.2227118.
Epub 2012 Nov 15.
2013
DetailsAn EEG Based cursor
control system
Cheng Ming, Gao ShangkaAbstrac€ ?his paper describes an exprbnen!al
brainamputer interke (BCI) which allows the severely
disabled persons to move the cursor on the screen
The system is based on the detecting
Conference PaperProceedings of the first
joint BMES/EMBS
Conference serving
humanity, Advencing
Technology, IEEE
1999
DetailsIndependent Component
Analysis of Gabor
Features for Face
Recognition
Chengjun Liu and Harry
Wechsler
 Journal PaperIEEE TRANSACTIONS ON
NEURAL NETWORKS
 
DetailsLadar-Based DATMO from a
Ground Vehicle at High
Speeds
Chieh-Chih Wang, Charles
Thorpe, Arne Suppe
Detection and tracking of moving objects (DATMO)
in crowded urban areas from a ground vehicle at
high speeds is difficult because of a wide variety
of targets and uncertain pose estimation from ...
Conference PaperIEEE Intelligent Vehicles
Symposium
 
DetailsFingerprint Feature
Extraction using Gabor
Filters
Chin-Jen Lee, Sheng-De
Wang
 Paper  
Details3D Objects -
Representation,
Recognition, and Coding
Chitra Dorai Paper  
DetailsCosmos - a representation
scheme for 3D free-form
objects
chitra dorai, anil k.
Jain
We address the problem of representing and recognizing
3D free form objects when (1) the object viewpoint
is arbitrary (2) the objects may vary in shape
and complexity and (3) no restrictive ...
JournalIEEE transactions on
pattern analysis and
machine intelligence
 
DetailsShape Spectrum Based View
Grouping and Matching of
3D Free-Form Objects
Chitra Dorai, Anil K.
Jain
We address the problem of constructing view aspects
of 3D free form objects for efficient matching during
recognition We introduce a novel view representation
based on “ shape ...
Journal PaperIEEE TRANSACTIONS ON
PATTERN ANALYSIS AND
MACHINE INTELLIGENCE
1997
DetailsRegistration and
integration of multiple
object views for 3D Model
Construction
Chitra Dorai, Gang Wang,
Anil K. Jain, and carolyn
mercer
Automatic 3D object model construction is important
in applications ranging from manufacturing to entertainment
since CAD models of existing objects may be either
unavailable or unusable We ...
JournalIEEE transactions on
pattern analysis and
machine intelligence
 
DetailsAdaptive 3D Acqusition
Using Laser Light
Christian Liska, Robert
Sablatnig
  Chezh Pattern Recognition
workshop, 2000
 
DetailsWavelet Packet Analysis
for Face Recognition
Christophe Garcia,
Giorgos Zikos, Giorgos
Tziritas
 Paper  
DetailsEfficient Segmentation
Based on Eikonal and
Diffusion Equations
Christopher Alvino, Gozde
Unal, Greg Slabaugh,
Bertrand Peny, Tong Fang
Segmentation of regions of interest in an image
has important applications in medical image analysis
particularly in computer aided diagnosis Segmentation
can enable further quantitative ...
Journal PaperThe International Journal
of Computer Mathematics
2007
DetailsA Tutorial on Support
Vector Machines for
Pattern Recognition
CHRISTOPHER J.C. BURGESThe tutorial starts with an overview of the concepts
of VC dimension and structural risk minimization
We then describe linear Support Vector Machines
(SVMs) for separable and non separable data ...
TutorialKluwer Academic
Publishers
 
DetailsTRACKING HUMAN FACES IN
INFRARED VIDEO
Christopher K. Eveland,
Diego A. Socolinsky,
Lawrence B. Wolff
 Paper  
DetailsVariational relevance
vector machines
Christopher M. Bishop,
Michael E. Tipping
The Support Vector Machine (SVM) of Vapnik has become
widely established as one of the leading approaches
to pattern recognition and machine learning It
expresses predictions in terms of a linear ...
Conference PaperProceedings of the 16th
Conference on Uncertainty
in Artificial
Intelligence
 
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