An introduction to the field
of Artificial Intelligence, which attempts to understand and build intelligent
systems. Topics include AI
programming languages, search, knowledge representation and reasoning, planning,
perception, and intelligent agents.
Introduction and overview of computer
vision: cameras and imaging geometry, radiometry, stereo, color, filtering, edge
detection, segmentation, tracking, recognition, applications of computer
vision.
Fundamentals of digital imaging systems, including the
capture, storage, display, retrieval, and processing of image and video data.
Topics include the nature of light, color, optics, sensors, human vision, image
processing, computer vision, and computer graphics.
(Freshman seminar, registration is restricted.) This seminar will cover
the emerging field of media arts and technology, a highly interdisciplinary
endeavor that sits at the crossroads of art, science, and technology. We will
cover topics in digital media technologies, new media forms, and collaborative
media art, and discuss applications in performance, entertainment, and
communication.
Fundamentals of digital imaging systems, including the
capture, storage, display, retrieval, and processing of image and video data.
Topics include the nature of light, color, optics, sensors, human vision, image
processing, computer vision, and computer graphics.
A two-unit (S/U) seminar focusing on computer vision.
Topic TBD. (One possibility: Greatest Hits Papers from CVPR 2005 and ICCV 2005.)
Syntax and semantics of C and C++. Introduction to
basic UNIX utilities and tools. Students complete several small projects that
exercise their understanding of the material presented in class.
Fundamentals of digital imaging systems, including the
capture, storage, display, retrieval, and processing of image and video data.
Topics include the nature of light, color, optics, sensors, human vision, image
processing, computer vision, and computer graphics.
Computing has a long history. Modern-day computers are built upon the ideas
developed over the centuries by mathematicians such as Leibniz, Boole, Babbage, Gödel, and Turing. In this
seminar we will discuss several of the key individuals and their contributions
to logic and computing that paved the way for the "universal
machines" of today and tomorrow.
Fall Quarter 2004 - on
sabbatical
This course
covers some important statistical models and algorithms that are used to model
processes and analyze data in computer vision, artificial intelligence,
bioinformatics, and other fields of study relevant to computer science. We will
cover several topics and applications - for example, Monte Carlo methods, HMMs,
mixture models, the EM algorithm, Kalman filters, particle filters, etc.
Fundamentals of digital imaging systems, including the
capture, storage, display, retrieval, and processing of image and video data.
Topics include the nature of light, color, optics, sensors, human vision, image
processing, computer vision, and computer graphics.
An introduction to the field
of Artificial Intelligence, which attempts to understand and build intelligent
systems. Topics include AI
programming languages, search, knowledge representation and reasoning, planning,
perception, and intelligent agents.
In this seminar we will
survey the literature in visualization algorithms, techniques, and applications.
Introduction and overview of computer
vision: cameras and imaging geometry, radiometry, stereo, color, filtering, edge
detection, segmentation, tracking, recognition, applications of computer
vision.
Bayesian networks
An introduction to the field
of Artificial Intelligence, which attempts to understand and build intelligent
systems. Topics include AI
programming languages, search, knowledge representation and reasoning, planning,
perception, and intelligent agents.
(Freshman
seminar, registration is restricted.) Computing has a long history. Modern-day
computers are built upon the ideas developed over the centuries by
mathematicians such as Leibniz, Boole, Babbage, Gödel, and Turing. In this
seminar we will discuss several of the key individuals and their contributions
to logic and computing that paved the way for the "universal
machines" of today and tomorrow.
Fundamentals of digital imaging systems, including the capture, storage,
display, retrieval, and processing of image and video data. Topics include the
nature of light, color, optics, sensors, human vision, image processing,
computer vision, and computer graphics. Intended for students without
significant background in image processing and computer vision (although it's
still relevant if you do have that background).
This is a seminar focusing on various aspects of advanced human-computer
interaction (HCI). Various UCSB faculty and visitors will present a number
of topics, including: visual interfaces, information visualization, wearable
geographic information systems, virtual sound, natural language processing,
search in information spaces, the Alexandria digital library project, social
interaction in virtual environments, and HCI and education. This is
cross-listed with INT200B, Seminar in Cognitive Science. [2 units]
This will be a project-oriented course, focusing on the area
of "vision-based interfaces" (VBI) - i.e., people tracking, body modeling,
gesture recognition, activity analysis, etc. The grade will be based
primarily on the student's quarter-long project. Lectures will cover
common technologies and approaches used in VBI. We
will also read relevant papers in these areas and discuss them in class.
Background
in computer vision, image processing, or pattern recognition is suggested. The two essential prerequisites are the ability to program
well and the ability to comprehend the mathematics.
For example, if you can read about and understand Hidden Markov Models or
Kalman filtering, you should be fine.
An introduction to the field
of Artificial Intelligence, which attempts to understand and build intelligent
systems. Topics include AI
programming languages, search, knowledge representation and reasoning, planning,
perception, and intelligent agents.
Fundamentals of digital imaging systems, including the capture, storage,
display, retrieval, and processing of image and video data. Topics include the
nature of light, color, optics, sensors, human vision, image processing,
computer vision, and computer graphics.
Software, tools and techniques for next-generation human-computer
interaction. Topics include input
devices and interaction techniques, information appliances, 3D user interfaces,
adaptive interfaces, user modeling, conversational, multimodal, and perceptual
interfaces.
Some UCSB courses related to human and computer vision, imaging,
human-computer interaction, and artificial intelligence