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PDF .33MB
PDF .33MB

... vision, computer graphics, reverse engineering, etc. The shape of an object can be represented by three levels of primitives in terms of the dimensional complexity: volumetric primitives, surface elements, and contours. The primitive selected to describe the object depends on the complexity of the o ...
Approaches to Artificial Intelligence
Approaches to Artificial Intelligence

... One's approach to research in AI seems to depend to a large extent on what propert.ies of int.elligent behaviour one is most. impressed by. For some, it might be the evolut.ionary ant.ecedents of this behaviour in other animals; for others, its biological underpinnings in the central nervous systemj ...
Slide 1
Slide 1

... Like the DVI, an HDMI allows the computer to connect to newly released monitors and current High Definition Television. One major advantage of HDMI is the ability to transfer both HD Video and Audio using one cable only. ...
Artificial Intelligence in Computer Graphics
Artificial Intelligence in Computer Graphics

... and with a wide range of background assumptions about the operating environment. There is thus a pragmatic kind of complexity with which the AI practitioner must cope: The broad set of skills required to create and/or configure the necessary systems for processing input and output in these areas. An ...
Controlling a mobile robot with Visual Prolog 7
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... This paper describes a practical realization of a simple declarative model for controlling a technical object – a mobile robot, which was built at the Robotics and Artificial Intelligence Laboratory of the State Polytechnic Museum under Technics PhD Valery Karpov and Technics PhD Dmitry Dobrynin. St ...
Computer Science (BS) - University of South Alabama
Computer Science (BS) - University of South Alabama

... Dr. Tom Johnsten ...
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systems

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Computational Creativity
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A Registration Method for Multimodal Medical Images Using
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... Studholme [4] proposed a method based on normalized mutual information. But the method ignores the spatial information. Pluim [5] proposed to include spatial information by multiplying MI measure with a gradient term based on the magnitude and the orientation of the gradients. But gradient is sensit ...
knowledge representation, issues in natural language
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... of parallel computation-justification and buildability; inherent parallelism and communication costs; techniques for efficient parallelization. Lower and upper complexity bounds; the classes NC and SC: P-complete problems; the parallel computation thesis. Prerequisite(s): CSCE 5150 or 5160. 6210. De ...
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Unit 3 Lesson 6 Introductory Video Script
Unit 3 Lesson 6 Introductory Video Script

... Smaller notes, such as sixty-fourth notes, exist, of course, but they are very rarely used, even in very difficult music. ...
Reports of the AAAI 2010 Conference Workshops
Reports of the AAAI 2010 Conference Workshops

... research groups to present on their work and to help shed light on the questions from a number of perspectives. We explicitly did not ask for papers, but instead asked that each group present on their perspective on AI approaches to fun, to address the questions above, and to speculate on the future ...
A Non-Photorealistic Lighting Model For Automatic Technical
A Non-Photorealistic Lighting Model For Automatic Technical

... provide a great deal of shape information themselves. Several studies in the field of perception have concluded that subjects can recognize 3D objects at least as well, if not better, when the edge lines (contours) are drawn versus shaded or textured images [1, 3, 5, 22]. However, when shading is ad ...
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AAAI Proceedings Template

... Because of the growing reliance that corporations and government agencies place on their computer networks, the significance of defending these systems from attack cannot be underestimated. Computer security and forensics are crucial in protecting systems from attack or from unauthorized access that ...
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... Presentation of 3D objects on planar 2D displays requires generally an arbitrary relationship between the projection (=presentation) plane and the center of projection (=observer´s eye). This viewing metaphor is called ”Window-on-world”, short WoW ...
CIS736-Lecture-22-20060306
CIS736-Lecture-22-20060306

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Images - Department of Computer and Information Science
Images - Department of Computer and Information Science

Image-Based Rendering with Occlusions via Cubist Images
Image-Based Rendering with Occlusions via Cubist Images

... this warping is a nontrivial task. Finding camera ray positions is also costly because in principle it requires having an accurate geometric model of the scene and the transformation to the source image. There are two distinct mechanisms by which we can achieve the data compression characterizing s ...
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lecture slides 1

... – speech is continuous: where are the boundaries between words? • e.g., ―John’s car has a flat tire‖ – large vocabularies • can be many thousands of possible words • we can use context to help figure out what someone said – e.g., hypothesize and test – try telling a waiter in a restaurant: ―I would ...
Aalborg Universitet The Meaning of Action
Aalborg Universitet The Meaning of Action

... robust and reliable manner to maintain a maximal degree of entertainment. The surveillance and entertainment applications receive a strong attention from the computer vision community. Here, action recognition is often treated as a pattern matching problem with an additional timedimension. A strong ...
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Ch1-Introduction

... • The right thing: that which is expected to maximize goal achievement, given the available information ...
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Computer vision



Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems.Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, object pose estimation, learning, indexing, motion estimation, and image restoration.
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