From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Theory of fuzzy integrals and its applications

Give us 5 minutes and we will show you the best book to read today. This is it, the occupational outlook handbook that will be your best choice for better reading book. Your five times will not spend wasted by reading this website. You can take the book as a source to make better concept. Referring the books that can be situated with your needs is sometime difficult. But here, this is so easy. You can find the best thing of book that you can read.

Occupational Outlook Handbook

The Art and Science of Negotiation

Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

/pdf/multiagent-systems-a-modern-approach-to-distributed-5fon0donq1.pdf

Multiagent systems: a modern approach to distributed artificial intelligence

Traffic accidents, in which pedestrians are often involved, injure and kill many people yearly. One critical scene is the crosswalk, an important knocking down source due to both drivers' and pedestrians' incorrect behaviors. In this work, we propose a novel approach to detect and sanction these drivers' abnormal behaviors. The multi-agent system paradigm embodies this approach, together with the use of FIPA standards, and a traffic ontology formalizes the domain knowledge. Besides developing the architecture, a simulator is also presented for generating random situations in the crosswalk scene. This system involves a first approximation in relation to the control of drivers' abnormal behaviors in a crosswalk controlled by a traffic light, obtaining a high-scalable and flexible system which can be adapted to other domains.

A cognitive surveillance system for detecting incorrect traffic behaviors

Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes

A multi-agent architecture for supporting distributed normality-based intelligent surveillance

Intelligent surveillance refers to using Artificial Intelligence techniques in order to improve surveillance and deal with semantic information obtained from low-level security devices. In this con...

Intelligent surveillance based on normality analysis to detect abnormal behaviors

Learning music has been demonstrated to provide many benefits for children. However, music students, especially beginners, often suffer from lack of motivation and even can be frustrated if their musical skills do not improve as they practice over and over. In such situations, they usually end up dropping out of music school. To face this challenge, in this work a novel approach based on mixed reality and gamification is proposed to motivate music students. This approach has been validated thanks to HoloMusic XP, a multimedia tool that helps students learn music and piano. The devised architecture that supports HoloMusic XP has been designed and developed to scale when new music concepts must be addressed. Thanks to the use of mixed reality, the usually steep learning curve for beginner students can be mitigated and complex music concepts can be simplified due to the use of visual metaphors. The system has been evaluated in a real environment by teachers and students to measure its effectiveness and usability. After conducting the experiments, an increase in the students’ motivation and a general understanding of the multimedia representation have been achieved.

Javier Albusac

Papers

A cognitive surveillance system for detecting incorrect traffic behaviors

Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes

A multi-agent architecture for supporting distributed normality-based intelligent surveillance

Intelligent surveillance based on normality analysis to detect abnormal behaviors

A novel approach to learning music and piano based on mixed reality and gamification