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Quantum computing. 2

Andrew S. Glassner • IEEE Computer Graphics and Applications (2001)

The author discusses some of the ideas of quantum computing and then digs into the notation and terminology. He uses physics language and symbology because it is the language of quantum computing. Bracket notation, qubits, multibit register...

OPENALEX DOI: https://doi.org/10.1109/38.946635

Quantum computing. 3

Andrew S. Glassner • IEEE Computer Graphics and Applications (2001)

For part 2, see ibid., September/October (2001). Every now and then surprising new theories appear on the scientific stage that hold the promise of dramatic new technologies. Quantum computing is one of these. The ideas in this field radica...

OPENALEX DOI: https://doi.org/10.1109/38.969611

Quantum computing. I

Andrew S. Glassner • IEEE Computer Graphics and Applications (2001)

Quantum computers will be useful for all kinds of computing. In addition to computer graphics they will have applications in cryptography, biology, and communications. We start with a look at the general principles of quantum mechanics as t...

OPENALEX DOI: https://doi.org/10.1109/38.953464

Kernel Methods in Computer Vision

Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2009)

Over the last years, kernel methods have established themselves as powerful tools for computer vision researchers as well as for practitioners. In this tutorial, we give an introduction to kernel methods in computer vision from a geometric ...

OPENALEX DOI: https://doi.org/10.1561/0600000027

Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering

Chanya Lueangwattana, Shohei Mori, Hideo Saito • Computational Visual Media (2019)

Abstract Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s41095-018-0126-8

Problems In Indoor Mapping and Modelling

S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)

Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprsarchives-XL-4-W4-63-2013

Computational Symmetry in Computer Vision and Computer Graphics

Yanxi Liu, Hagit Zabrodsky Hel-Or, Craig S. Kaplan, Luc Van Gool • Foundations and Trends® in Computer Graphics and Vision (2010)

In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potenti...

OPENALEX DOI: https://doi.org/10.1561/0600000008

Computer vision for interactive computer graphics

William T. Freeman, David Anderson, Paul A. Beardsley, C.N. Dodge et al. • IEEE Computer Graphics and Applications (1998)

Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...

OPENALEX DOI: https://doi.org/10.1109/38.674971

Structured Learning and Prediction in Computer Vision

Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2011)

Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...

OPENALEX DOI: https://doi.org/10.1561/0600000033

A polyhedron representation for computer vision

Bruce G. Baumgart • AFIPS National Computer Conference (NCC) (1975)

My approach to computer vision is best characterized as inverse computer graphics. In computer graphics, the world is represented in sufficient detail so that the image forming process can be numerically simulated to generate synthetic tele...

OPENALEX DOI: https://doi.org/10.1145/1499949.1500071

Crowd Analysis Using Computer Vision Techniques

Julio C. S. Jacques, Soraia Raupp Musse, Cláudio R. Jung • IEEE Signal Processing Magazine (2010)

This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the ar...

OPENALEX Open Access DOI: https://doi.org/10.1109/msp.2010.937394

Computer Vision and Image Processing: A Paper Review

Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research (2018)

Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...

OPENALEX cc-by-sa DOI: https://doi.org/10.29099/ijair.v2i1.42

Computer Vision for Autonomous Vehicles

Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger • Foundations and Trends® in Computer Graphics and Vision (2020)

Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the fiel...

OPENALEX Open Access DOI: https://doi.org/10.1561/0600000079

Computer Vision

George C. Stockman, Linda G. Shapiro (2001)

From the Publisher: Computer Vision presents the necessary theory and techniques for students and practitioners who will work in fields where significant information must be extracted automatically from images. It will be a useful resource...

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