Punto Informatica

Machine
Intelligence
Department of Computer Science
Research Interests
Computer Graphics
CG
IA
Computer Vision
Image Processing
Machine Learning
AR
ML - PR
Pattern Recognition
Intelligent Agents
Knowledge Representation
Automated Reasoning
CV - IP
KR
People
Dr. Manuele Bicego (ML, PR) home page
Prof.ssa Maria Paola Bonacina (AR) home page
Dr. Umberto Castellani (CG, CV, ML, PR) home page
Prof. Ferdinando Cicalese (KR, ML) home page
Dr. Matteo Cristani (IA, KR, AR) home page
Prof. Marco Cristani (CV, PR) home page
Prof. Alessandro Farinelli (IA) home page
Prof. Andrea Giachetti (CG, CV, IP) home page
Prof.ssa Gloria Menegaz (ML, IP) home page
Prof. Vittorio Murino (CG, CV, ML, PR, IP) home page
Computer Graphics
dr. Umberto
Castellani
prof. Andrea
Giachetti
Modeling 3D objects and scenes
Mesh segmentation and skeletonization
‘Shape google’: a query-shape and retrieved models
Feature points detection and description
Computer Graphics
Visualization, gaming and visual interaction
Augmented reality
3D interaction in Virtual Reality
Video game development
Facial animation
Computer Vision
automatic systems to perceive and
understand the visual world
dr. Umberto prof. Marco prof. Andrea
Cristani
Castellani
Giachetti
3D reconstruction
Images and
depth information
3D object
segmentation
Computer Vision
Not only rigid objects: a personal 3D structure, for medical or surveillance aims
Machine Learning
Learn from data to make predictions or
decisions
dr. Umberto prof. Gloria
Menegaz
Castellani
dr. Manuele
Bicego
Brain classification by Multiple Kernel
Learning
Dictionary Learning
Machine Learning
Constrained Spectral Clustering for HARDI data
Cortico-spinal tract segmentation
Pattern Recognition
What is pattern recognition ?
dr. Umberto prof. Marco
Cristani
Castellani
Where am I ?
dr. Manuele
Bicego
Is there a black sheep ?
automatic systems that can perform Pattern Recognition
(e.g., classification, clustering, detection)
What is this ?
How many pasta shapes
Pattern Recognition
Person
recognition
(biometrics)
Who is this guy ?
Classification of
seismic signal
Recognition from
physiological traits:
(how a person appears)
Recognition from
behavioural traits:
(how a person behaves)
Usage of social
Gait Electricity
Consumption networks
Tracking
groups of
people
Image Processing
Brain connectivity
Microstructure
ALPHA
prof. Gloria
Menegaz
Neuroimaging
Segmentation
Brain mapping
Image Processing
Medical image analysis
prof. Andrea
Giachetti
Image Upscaling
Decision Trees
(active learning and experimental design)
prof. Ferdinando
Cicalese
Natural model for knowledge representation
if … then rules are naturally represented as decision trees
Applications:
Classification, automatic diagnosis, learning, sensor networks,
event detection, information spreading in social networks, data
base query optimization, …
High blood pressure
If blood pressure is high then
If glucose level is high then
yes
no
If creatinine high then
high risk of kidney failure
Glucose high
MR test
else if test
else if MR reveals artery stenosis then yes
no
…
creatinine
Else if …
High risk of
Kidney failure
Decision Trees
(active learning and experimental design)
Learning and Classification
Partitioning labeled data
Adaptive partition defined by a
(decision) tree
simple design
simple interpretation
simple implementation
good performance
collaborations: PUC-Rio (Brazil), Rényi Institute (Hungary), NII-Tokyo (Japan)
Chalmers U. (Sweden), CMU (USA)
Intelligent Agents and MAS
Develop agents that interact with environment and other agents
Intelligent Agent
Multi-Agent System
prof. Alessandro
Farinelli
Optimization
Uncertainty
Complex Software Systems
Intelligent Agents and MAS
Applications Scenarios
Group Formation (cons. social networks)
Coordination for Rescue operations
Ride Sharing
collaborations:
Southampton Univ. (UK)
IIIA-CSIC (Spain)
Energy Puchasing
Research Groups: VIPS
Image
processing
Computer
Graphics
Computer
Vision
prof. Andrea
Giachetti
prof. Gloria
prof. Vittorio
Menegaz
Murino
dr. Umberto prof. Marco
Cristani
Castellani
Statistical
Pattern
Recognition
Machine dr. Manuele
Bicego
Learning
Research Facilities
•
•
•
3 research zones and labs
•
Research room (Ca’ Vignal 2, floor-2)
•
Experiments room (Ca’ Vignal 2, floor-2)
•
NavLab (Ca’ Vignal 2, floor-1)
~12 seats
Advanced Technology
• Sensors (Kinect, Oculus Rift, Leapmotion,
Brainwave)
23 December 2014
19
Take a look at: vips.sci.univr.it for more info
19
Start-up
3Dflow s.r.l. - www.3dflow.net
• computer vision and image processing
eVS s.r.l. – www.embeddedvisionsytems.it
• embedded vision systems