3D Computer Vision using MATLAB

WHOSHOULDATTEND?
Lecturers, Researchers, Engineers, Students, Industry Professionals and
Scientists who wish to explore latest techniques and algorithms on 3D
computer vision.
PUSAT PENGAJIAN SAINS KOMPUTER
SCHOOL OF COMPUTER SCIENCES
A 2-days course which would practically demonstrate state-of-the-art 3D computer vision
techniques with number of MATLAB-based examples. Learn from an Australian Expert!
Dates
: 30 September & 1 October 2014 (Tuesday & Wednesday)
Time
: 9:00 a.m. – 5:00 p.m.
Venue
: Kompleks ЄUREKA, Universiti Sains Malaysia, Penang.
in collaboration with:
COURSE FEE
(Covers training materials, refreshment
lunches and Certificate of Attendance)
including
MYR 1,200.00 per participant
GROUP: MYR 1,080.00 per participant
(Wholly owned by Universiti Sains Malaysia)
(Co. No.: 473883-H)
HRDF : 0159
(Minimum 3 participants from the same company /
organisation)
STUDENT: MYR 850.00 per participant
HRDF CLAIMABLE*
*Subject to HRDF Approval
(Proof of I.D. is compulsory)
(No Group Discount available)
INTRODUCTION
BIOGRAPHY OF THE PRESENTER
The availability of low cost 3D scanners, also called RGB-D or
simply depth cameras, has motivated their use for many
computer vision applications such as face/object/action
recognition, tracking, and human pose estimation. The
appearance of an object, in images, changes with illumination
but its 3D shape remains invariant. RGB-D cameras additionally
capture the depth information which is lost in conventional
imaging. These strengths have been exploited to achieve
unprecedented accuracies in the above and many other
computer vision and graphics applications. Depth cameras are
now being integrated in mobile devices putting the strength of
3D computer vision in the hands of consumers.
COURSE METHODOLOGY
PROF. AJMAL MIAN
Prof. Ajmal Mian is a well-known expert in the 3D computer
vision research area. Prof. Ajmal Mian completed his PhD from
Prof. Ajmal Mian will explain how to render 3D data in MATLAB
as pointclouds, meshes and shaded surfaces. He will
demonstrate how to convert 3D data to various image
representations and perform standard image processing. He will
then show how to process the pointclouds directly for key point
detection, mesh generation, feature extraction, registration and
matching. Finally, he will give some practical examples of 3D
pointcloud registration, 3D face recognition and 3D object
recognition in cluttered scenes.
The University of Western Australia in 2006 with distinction
and
received
the
Australasian
Distinguished
Doctoral
Dissertation Award from Computing Research and Education
Association of Australasia. He received the prestigious
Australian Postdoctoral and Australian Research Fellowships
in 2008 and 2011 respectively. He received the UWA
Outstanding Young Investigator Award in 2011 and the West
Australian Early Career Scientist of the Year award in 2012. He
ENQUIRIES
has secured four Australian competitive research grants worth
Technical :
Dr. Ibrahim Venkat
School of Computer Sciences
Universiti Sains Malaysia, Penang.
(T)
: +604-653 4753
(M)
: +6017-531 0866
(E)
: [email protected]
Computer Science and Software Engineering at The University
over $2 Million. He is currently a Professor in the School of
of Western Australia. His research interests include computer
vision, 3D shape analysis, pattern recognition, machine
learning, multimodal biometrics, and hyperspectral image
analysis. He has published a number of articles in top ranked
journals including IEEE Transactions on Pattern Analysis and
Machine Intelligence, International Journal of Computer Vision,
Registration and others:
Khairol Anuar Hazir Mohammed
USAINS Holding Sdn. Bhd.
(DL)
: +604-653 5714
(M)
: +6012-286 9048
(E)
: [email protected] /
[email protected] / [email protected]
IEEE Transactions on Image Processing and has over 1500
citations.
RECOMMENDED ACCOMMODATION
USM Guest House (inside USM compound)
Universiti Sains Malaysia
11800 Minden, Penang.
M)
: Ms. Ruzana (+6012 – 581 4702) – Officer in Charge
(T)
: +604 – 653 2030 / +604 – 653 2050
(E)
: [email protected]
Hotel Vistana (Nearby Bukit Jambul Shopping Complex)
213, Jalan Bukit Gambir, Bukit Jambul
11950 Penang.
(M)
: Ms. Roslinda (018-308 5876)
(T)
: 04–646 8000
(F)
: 04–646 1400
(E)
: [email protected]
(W): http://www.vistanahotels.com/VistanaPG/Default.aspx
B-Suite (Nearby Bukit Jambul Shopping Complex)
B Tower, Bayan Point, 19, Medan Kampung Relau,
11900 Bayan Lepas, Penang.
(M)
: Ms. Hasliza (016–458 3568) – Sales Manager
(T)
: 04–646 7777 / 04-644 4000 (Reservation)
(F)
: 04–644 5000
(E)
: [email protected] / [email protected]
(W)
: http://www.b-suite.com.my/
Eastin Hotel Penang (Nearby Queensbay Shopping Mall)
1, Solok Bayan Indah, Queensbay,
11900 Bayan Lepas, Penang.
(T)
: 04–612 1111
(M)
: Ms. Nornazia (016–526 5512)
(F)
: 04–612 1199
(E)
: [email protected]
(W)
: http://www.eastinhotel-penang.com/ppc/index.html
3DComputerVisionusingMATLAB
3DComputerVisionusingMATLAB
CourseContentsandTentativeSchedule
CourseContentsandTentativeSchedule
TOPIC
DAY 1
DAY 2
1. Introduction:
1. Feature extraction:
Introduction to 3D data acquisition technology.
PCA based pose normalization.
Types of 3D scanners and their comparison.
Normalized depth value features.
How is 3D data different from 2D images.
Gradients and curvatures.
Example applications of 3D computer vision.
Shape index.
Spherical features.
Local coordinate frames.
2. Basics of 3D data representation:
Spin images.
Reading data into MATLAB.
Tensor representation.
Visualizing raw 3D data as pointclouds.
Geometric hashing.
Visualizing 3D data as images.
Geodesic curves and binary patterns.
Converting 3D pointclouds to different image
More features.
representations.
** Practical demonstration of feature extraction.
**Practical demonstration of all four steps.
3. 3D Image Processing:
Edge, corner and blob detection.
Filtering.
Effects of rotation.
Principal Component Analysis (PCA) of 3D
images.
Face recognition.
** Practical demonstration of image processing on 3D
images.
4. Pointcloud processing:
Converting pointcloud to mesh.
Noise removal.
Calculating normals.
Surface fitting and rendering in Matlab.
Iterative Closest Point (ICP) Registration.
ICP based object/face recognition.
** Practical demonstration of all steps.
5. Keypoint detection:
Definition and importance.
Revision of keypoint detection algorithms for 2D
images (Harris, SIFT).
3D keypoint detection and quality assessment
(KPQ).
Principal curvatures.
More 3D keypoint detection algorithms.
**Practical demonstration of KPQ algorithm.
2. 3D object recognition and retrieval:
Compressed shape descriptors.
Projection to discriminative spaces.
Indexing.
Feature matching and distance measures.
Pruning
incorrect
matches
(geometric
consistency).
3D model alignment to scene and verification.
** Practical demonstration of 3D object recognition in
cluttered scenes.
3. 3D video based action recognition:
Depth, pointcloud, mesh videos.
4D analysis (X,Y,Z,T).
Viewpoint invariance.
Spatio-temporal
keypoints
and
scale
normalization.
Histogram of Oriented Gradients (HOG).
Histogram of Oriented Principal Components
(HOPC).
** Demonstration videos.
4. 3D assisted 2D computer vision:
3D deformable model based 2D face/object
recognition.
Model based object segmentation.
Illumination normalization.
Rendering novel 2D images with varying pose
and illumination.
** Demonstration videos.
Disclaimer
The Organizer reserves the right to reschedule or cancel any part of its published programme or venue due to unforeseen
circumstances and will not accept liability for costs incurred by participants or their organizations for the cancellation of travel
arrangements and/or accommodation reservations because of the course being cancelled or postponed. Advance notice will be
given if there is such a change or cancellation.
REGISTRATION FORM
3D COMPUTER VISION USING MATLAB
Send registration form to : Khairol Anuar, Usains Holding Sdn. Bhd., Level 2, Block C, Sains@USM,
No.10, Persiaran Bukit Jambul, 11900 Bayan Lepas, Penang.
Fax : +604 – 643 0490 or
Email : [email protected] / [email protected] / [email protected]
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Cheque / Bank Draft / Money Order / LO / PO must be made payable to ‘USAINS HOLDING SDN. BHD.’.
1. Bank Transfer [Please fax your Bank-in Slip (Print your name & details on the slip)].
Payee Name
Details
Name of Bank
Account Number
: USAINS Holding Sdn. Bhd.
: 3-D COMPUTER VISION USING MATLAB
: CIMB Bank Berhad (USM Branch), Universiti Sains Malaysia, 11800 USM Penang.
: 800 – 381 – 7364
2. A Local Order (LO) or Purchase Order (PO) must be presented before the event.
The Organizer reserves the right to refrain a registered participant from taking part in the event if no proof of
payment can be presented. This only applies to registered participants who have NOT paid the registration fee
PRIOR to the event date.
3. Cancellation / Substitution
A full refund less administration fee of MYR 300.00 will be given for cancellation received not later than 10 working
days before the course. No refund will be made after this period. However, substitute participants are welcomed at
no extra charge provided written notice of at least 5 working days before the event is given to the Organizer.