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Workshop overview

Great advances have been made in the acquisition of image data, from conventional photography, CT scanning, and satellite imaging to thenow ubiquitous digital cameras embedded in cell phones and other wireless devices. Although the semantic understanding of the shapesand other objects appearing in images is effortless for human beings, the corresponding problem in machine perception - namely, automaticinterpretation via computer programs - remains a major open challenge in modern science. In fact, there are very few systems whose valuederives from the analysis rather than collection of image data, and this "semantic gap" impedes scientific and technological advances inmany areas, including automated medical diagnosis, robotics, industrial automation, and effective security and surveillance.In this CSLS Workshop, three distinguished experts in the field of Computational Vision and Image Analysis share their thoughts on thecurrent state of the art and future directions in the field.

Remark: This workshop was held on October 30, 2003 as part of the Computational Sciences Lecture Series (CSLS) at the University of Wisconsin-Madison.

Hierarchical designs for pattern recognition

By Prof. Donald Geman (Dept. of Applied Mathematics and Statistics and Center for Imaging Science,Johns Hopkins University, USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV] | Video [MPG]

ABSTRACT: It is unlikely that complex problems in machine perception, such as scene interpretation, will yield directly to improved methodsof statistical learning. Some organizational framework is needed to confront the small amount of data relative to the large number ofpossible explanations, and to make sure that intensive computation is restricted to genuinely ambiguous regions. As an example, I willpresent a "twenty questions" approach to pattern recognition. The object of analysis is the computational process itself rather thanprobability distributions (Bayesian inference) or decision boundaries (statistical learning). Under mild assumptions, optimal strategiesexhibit a steady progression from broad scope coupled with low power to high power coupled with dedication to specificexplanations. Several theoretical results will be mentioned (joint work with Gilles Blanchard) as well as experiments in object detection(joint work with Yali Amit and Francois Fleuret).

Modeling and inference of dynamic visual processes

By Prof. Stefano Soatto (Department of Computer Science, University of California Los Angeles,USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV]

ABSTRACT: "We see in order to move, and we move in order to see." Inthis expository talk, I will explore the role of vision as a sensor for interaction with physical space. Since the complexity of thephysical world is far superior to that of its measured images, inferring a generic representation of the scene is an intrinsicallyill-posed problem. However, the task becomes well-posed within the context of a specific control task. I will display recent results inthe inference of dynamical models of visual scenes for the purpose of motion control, shape visualization, rendering, and classification.

Computational anatomy and models for image analysis

By Prof. Michael Miller (Director of the Center for Imaging Science, The Seder Professor of Biomedical Engineering,Professor of Electrical and Computer Engineering, Johns Hopkins University,USA)

Slides of talk [PDF] (Not yet available.) | Video [WMV]

ABSTRACT: University Recent years have seen rapid advances in the mathematical specification of models for image analysis of humananatomy. As first described in "Computational Anatomy: An Emerging Discipline" (Grenander and Miller, Quarterly of Applied Mathematics,Vol. 56, 617-694, 1998), human anatomy is modelled as a deformable template, an orbit under the group action of infinite dimensionaldiffeomorphisms. In this talk, we will describe recent advances in CA,specifying a metric on the ensemble of images, and examine distances between elements of the orbits, "Group Actions, Homeomorphisms, andMatching: A General Framework" (Miller and Younes, Int. J. Comp. Vision Vol. 41, 61-84, 2001), "On the Metrics ofEuler-Lagrange Equations of Computational Anatomy (Annu. Rev. Biomed. Eng., Vol. 4, 375-405, 2002). Numerous resultswill be shown comparing shapes through this metric formulation of the deformable template, including results from disease testing on thehippocampus, and cortical structural and functional mapping.

Questions & Answers

where we get a research paper on Nano chemistry....?
Maira Reply
nanopartical of organic/inorganic / physical chemistry , pdf / thesis / review
what are the products of Nano chemistry?
Maira Reply
There are lots of products of nano chemistry... Like nano coatings.....carbon fiber.. And lots of others..
Even nanotechnology is pretty much all about chemistry... Its the chemistry on quantum or atomic level
no nanotechnology is also a part of physics and maths it requires angle formulas and some pressure regarding concepts
Preparation and Applications of Nanomaterial for Drug Delivery
Hafiz Reply
Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
Jyoti Reply
ya I also want to know the raman spectra
I only see partial conversation and what's the question here!
Crow Reply
what about nanotechnology for water purification
RAW Reply
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
yes that's correct
I think
Nasa has use it in the 60's, copper as water purification in the moon travel.
nanocopper obvius
what is the stm
Brian Reply
is there industrial application of fullrenes. What is the method to prepare fullrene on large scale.?
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
How we are making nano material?
what is a peer
What is meant by 'nano scale'?
What is STMs full form?
scanning tunneling microscope
how nano science is used for hydrophobicity
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest. Rafiq
what is differents between GO and RGO?
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.? How this robot is carried to required site of body cell.? what will be the carrier material and how can be detected that correct delivery of drug is done Rafiq
analytical skills graphene is prepared to kill any type viruses .
Any one who tell me about Preparation and application of Nanomaterial for drug Delivery
what is Nano technology ?
Bob Reply
write examples of Nano molecule?
The nanotechnology is as new science, to scale nanometric
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Is there any normative that regulates the use of silver nanoparticles?
Damian Reply
what king of growth are you checking .?
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
Stoney Reply
why we need to study biomolecules, molecular biology in nanotechnology?
Adin Reply
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
what school?
biomolecules are e building blocks of every organics and inorganic materials.
how did you get the value of 2000N.What calculations are needed to arrive at it
Smarajit Reply
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