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Tag: computer vision

  • Pattern Recognition and Computer Vision Lecture Notes in Computer Science Part 2

    Pattern Recognition and Computer Vision Lecture Notes in Computer Science Part 2



    Pattern Recognition and Computer Vision Lecture Notes in Computer Science Part 2

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    Pattern Recognition and Computer Vision Lecture Notes in Computer Science Part 2

    Welcome back to Part 2 of our lecture notes on Pattern Recognition and Computer Vision! In this installment, we will delve deeper into the fascinating world of image processing, object recognition, and machine learning algorithms.

    Topics covered in this lecture include:

    – Image segmentation techniques such as thresholding, edge detection, and region growing
    – Feature extraction methods including texture analysis, shape descriptors, and invariant moments
    – Object recognition algorithms like template matching, nearest neighbor classification, and support vector machines
    – Deep learning approaches for image classification, object detection, and semantic segmentation
    – Applications of computer vision in healthcare, autonomous vehicles, surveillance, and augmented reality

    By the end of this lecture, you will have a solid understanding of the fundamental principles and advanced techniques used in pattern recognition and computer vision. Whether you are a student, researcher, or industry professional, these lecture notes will provide you with valuable insights and practical knowledge to apply in your own projects.

    So grab your notebook, sharpen your pencils, and let’s dive into the exciting world of Pattern Recognition and Computer Vision! Stay tuned for Part 3, where we will explore the latest advancements and future trends in this rapidly evolving field.
    #Pattern #Recognition #Computer #Vision #Lecture #Notes #Computer #Science #Part

  • Extended Reality: International Conference, XR Salento 2023, Lecce, Italy, September 6-9, 2023, Proceedings, Part I (Lecture Notes in Computer Science)

    Extended Reality: International Conference, XR Salento 2023, Lecce, Italy, September 6-9, 2023, Proceedings, Part I (Lecture Notes in Computer Science)


    Price: $89.99 – $6.26
    (as of Dec 26,2024 18:07:52 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (September 6, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 568 pages
    ISBN-10 ‏ : ‎ 3031434005
    ISBN-13 ‏ : ‎ 978-3031434006
    Item Weight ‏ : ‎ 1.73 pounds
    Dimensions ‏ : ‎ 6.1 x 1.28 x 9.25 inches


    Join us at XR Salento 2023, the premier international conference on Extended Reality, taking place in Lecce, Italy from September 6-9, 2023. This conference will bring together experts and researchers from around the world to discuss the latest advancements in XR technologies and applications.

    The Proceedings of XR Salento 2023, Part I, will be published as part of the prestigious Lecture Notes in Computer Science series. This publication will feature cutting-edge research and insights from leading scholars in the field of Extended Reality.

    Don’t miss this opportunity to be a part of the conversation on the future of XR. Register now to secure your spot at XR Salento 2023 and stay tuned for more updates on the conference program and speakers. We look forward to welcoming you to Lecce in September 2023!
    #Extended #Reality #International #Conference #Salento #Lecce #Italy #September #Proceedings #Part #Lecture #Notes #Computer #Science

  • Computer Vision – Paperback By Shapiro, Linda G. – GOOD

    Computer Vision – Paperback By Shapiro, Linda G. – GOOD



    Computer Vision – Paperback By Shapiro, Linda G. – GOOD

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    Looking for a comprehensive guide to computer vision? Look no further than “Computer Vision” by Linda G. Shapiro. This paperback book covers all the basics of computer vision, from image processing and feature extraction to object recognition and machine learning.

    Shapiro breaks down complex concepts into easy-to-understand explanations, making this book perfect for beginners and experts alike. With clear examples and practical exercises, you’ll be able to apply your knowledge to real-world projects in no time.

    Whether you’re a student studying computer vision or a professional looking to enhance your skills, “Computer Vision” is a must-have resource. Pick up a copy today and dive into the exciting world of computer vision!
    #Computer #Vision #Paperback #Shapiro #Linda #GOOD

  • Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011, Proceedings (Lecture Notes in Computer Science, 6830)

    Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011, Proceedings (Lecture Notes in Computer Science, 6830)


    Price: $54.99 – $34.01
    (as of Dec 26,2024 17:34:26 UTC – Details)




    Publisher ‏ : ‎ Springer; 2011th edition (July 19, 2011)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 430 pages
    ISBN-10 ‏ : ‎ 3642228860
    ISBN-13 ‏ : ‎ 978-3642228865
    Item Weight ‏ : ‎ 1.43 pounds
    Dimensions ‏ : ‎ 6.1 x 0.98 x 9.25 inches


    Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011, Proceedings (Lecture Notes in Computer Science, 6830)

    The 4th International Conference on Artificial General Intelligence (AGI) took place in Mountain View, California, USA from August 3-6, 2011. This prestigious event brought together experts and researchers from around the world to discuss the latest advancements in the field of artificial general intelligence.

    The conference featured a wide range of topics, including cognitive architectures, machine learning, natural language processing, and more. Attendees had the opportunity to hear from leading experts in the field, participate in panel discussions, and network with their peers.

    The proceedings from the conference have been published in Lecture Notes in Computer Science, volume 6830. This comprehensive volume contains all of the papers presented at the conference, providing valuable insights into the current state of research in artificial general intelligence.

    Overall, the 4th International Conference on Artificial General Intelligence was a resounding success, highlighting the cutting-edge research and development happening in this exciting field. Researchers and enthusiasts alike can look to the conference proceedings for inspiration and new ideas as they continue to push the boundaries of artificial intelligence.
    #Artificial #General #Intelligence #4th #International #Conference #AGI #Mountain #View #USA #August #Proceedings #Lecture #Notes #Computer #Science

  • Anti Blue Light & Anti Block Glare Computer Reading Glasses Readers for Women

    Anti Blue Light & Anti Block Glare Computer Reading Glasses Readers for Women



    Anti Blue Light & Anti Block Glare Computer Reading Glasses Readers for Women

    Price : 9.74

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    Are you tired of eye strain and headaches after long hours of staring at a screen? Look no further! Our Anti Blue Light & Anti Block Glare Computer Reading Glasses Readers for Women are here to save the day.

    These stylish and functional glasses are designed specifically to protect your eyes from harmful blue light emitted by electronic devices, while also reducing glare and preventing eye fatigue. Whether you’re working on your computer, scrolling through your phone, or watching TV, these glasses will provide you with the ultimate protection and comfort.

    Say goodbye to dry, tired eyes and hello to crystal-clear vision with our Anti Blue Light & Anti Block Glare Computer Reading Glasses Readers for Women. Order yours today and start enjoying the benefits of healthier eyes and improved comfort while using your devices.
    #Anti #Blue #Light #Anti #Block #Glare #Computer #Reading #Glasses #Readers #Women

  • TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges

    TensorFlow 2.0 Computer Vision Cookbook: Implement machine learning solutions to overcome various computer vision challenges


    Price: $43.99
    (as of Dec 26,2024 16:57:36 UTC – Details)




    Publisher ‏ : ‎ Packt Publishing (February 26, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 542 pages
    ISBN-10 ‏ : ‎ 183882913X
    ISBN-13 ‏ : ‎ 978-1838829131
    Item Weight ‏ : ‎ 2.05 pounds
    Dimensions ‏ : ‎ 9.25 x 7.5 x 1.12 inches


    Are you looking to enhance your computer vision skills and overcome various challenges in the field of machine learning? Look no further than the TensorFlow 2.0 Computer Vision Cookbook!

    In this comprehensive guide, you will learn how to implement machine learning solutions using the latest version of TensorFlow. From image classification and object detection to image segmentation and facial recognition, this cookbook covers a wide range of computer vision tasks with practical examples and step-by-step instructions.

    Whether you are a beginner or an experienced data scientist, this cookbook will help you sharpen your skills and tackle real-world challenges in computer vision. Get ready to dive into the world of TensorFlow 2.0 and take your machine learning projects to the next level!

    Don’t miss out on this essential resource for mastering computer vision with TensorFlow 2.0. Order your copy today and start building cutting-edge solutions for a variety of computer vision applications.
    #TensorFlow #Computer #Vision #Cookbook #Implement #machine #learning #solutions #overcome #computer #vision #challenges

  • Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)

    Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)


    Price: $54.99 – $24.61
    (as of Dec 26,2024 16:20:39 UTC – Details)




    Publisher ‏ : ‎ Apress; 1st ed. edition (November 30, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 577 pages
    ISBN-10 ‏ : ‎ 1484251733
    ISBN-13 ‏ : ‎ 978-1484251737
    Item Weight ‏ : ‎ 1.75 pounds
    Dimensions ‏ : ‎ 6.1 x 1.31 x 9.25 inches


    Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)

    In this post, we will explore the exciting world of machine learning with the Raspberry Pi. The Raspberry Pi is a popular single-board computer that is widely used for various projects, including machine learning and artificial intelligence.

    We will delve into the basics of machine learning and how it can be implemented on the Raspberry Pi. We will discuss the different types of machine learning algorithms and how they can be used to analyze and interpret data.

    One of the most fascinating applications of machine learning on the Raspberry Pi is computer vision. Computer vision is a field of artificial intelligence that enables machines to interpret and understand visual information. We will explore how computer vision can be implemented on the Raspberry Pi to recognize objects, detect faces, and much more.

    Through hands-on experiments and practical examples, we will demonstrate how machine learning can be used to solve real-world problems using the Raspberry Pi. Whether you are a beginner or an experienced developer, this post will provide valuable insights into the world of machine learning and its applications with the Raspberry Pi.
    #Machine #Learning #Raspberry #Experiments #Data #Computer #Vision #Technology #Action

  • Support Vector Machines for Pattern Classification [Advances in Computer Vision

    Support Vector Machines for Pattern Classification [Advances in Computer Vision



    Support Vector Machines for Pattern Classification [Advances in Computer Vision

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    Support Vector Machines (SVMs) have been widely used in the field of pattern classification in computer vision for their ability to handle high-dimensional data and nonlinear relationships between features. SVMs are a type of supervised learning algorithm that can be used for both classification and regression tasks.

    One of the key advantages of SVMs is their ability to find the optimal hyperplane that separates different classes of data points in a high-dimensional space. This hyperplane maximizes the margin between the classes, making the classifier more robust and less prone to overfitting.

    In recent years, there have been significant advances in the use of SVMs for pattern classification in computer vision. Researchers have developed new algorithms and techniques to improve the performance of SVMs in handling large-scale datasets, noisy data, and imbalanced classes.

    Additionally, SVMs have been combined with other machine learning techniques, such as deep learning and ensemble methods, to further improve their accuracy and efficiency in pattern classification tasks. These hybrid approaches have shown promising results in various computer vision applications, including image recognition, object detection, and facial recognition.

    Overall, SVMs continue to be a powerful tool in the field of pattern classification in computer vision, and ongoing research and development efforts are further enhancing their capabilities for solving complex and challenging problems in image analysis and recognition.
    #Support #Vector #Machines #Pattern #Classification #Advances #Computer #Vision

  • Introduction to Computer Vision with TensorFlow: A Beginner’s Guide to Understanding and Implementing Visual AI

    Introduction to Computer Vision with TensorFlow: A Beginner’s Guide to Understanding and Implementing Visual AI


    Price: $3.95
    (as of Dec 26,2024 15:40:33 UTC – Details)




    ASIN ‏ : ‎ B0DF68ZWHD
    Publication date ‏ : ‎ August 24, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 796 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 379 pages


    Computer vision is a rapidly growing field in artificial intelligence that focuses on enabling computers to interpret and understand the visual world. With the help of deep learning frameworks like TensorFlow, developers can build powerful computer vision models that can recognize objects, detect patterns, and make sense of images and videos.

    In this beginner’s guide, we will take you through the basics of computer vision with TensorFlow, one of the most popular deep learning libraries for building visual AI applications. Whether you are a student, a hobbyist, or a professional looking to delve into the world of computer vision, this guide will provide you with the foundational knowledge and practical skills needed to get started.

    Topics covered in this guide include:

    1. Understanding the basics of computer vision and its applications
    2. Introduction to TensorFlow and its role in building computer vision models
    3. Overview of deep learning concepts such as neural networks and convolutional neural networks (CNNs)
    4. Hands-on tutorials on how to build and train computer vision models using TensorFlow
    5. Tips and best practices for optimizing and deploying computer vision applications

    By the end of this guide, you will have a solid understanding of computer vision principles and be equipped with the skills to start building your own visual AI projects with TensorFlow. So, if you are ready to dive into the exciting world of computer vision, grab your laptop and let’s get started!
    #Introduction #Computer #Vision #TensorFlow #Beginners #Guide #Understanding #Implementing #Visual

  • RGB-D Image Analysis and Processing (Advances in Computer Vision and Pattern …

    RGB-D Image Analysis and Processing (Advances in Computer Vision and Pattern …



    RGB-D Image Analysis and Processing (Advances in Computer Vision and Pattern …

    Price : 328.72

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    RGB-D Image Analysis and Processing (Advances in Computer Vision and Pattern Recognition)

    In recent years, the development of RGB-D cameras has significantly enhanced the capabilities of computer vision systems. These cameras provide color information along with depth data, allowing for more detailed and accurate analysis of images. This has opened up new possibilities for a wide range of applications, from robotics and augmented reality to medical imaging and autonomous driving.

    One of the key challenges in leveraging RGB-D images is the need for advanced analysis and processing techniques. Traditional image processing algorithms may not be sufficient to fully exploit the rich information provided by these cameras. As a result, researchers and engineers have been working on developing new methods and approaches to handle RGB-D data effectively.

    Advances in computer vision and pattern recognition have played a crucial role in this area. Deep learning techniques, in particular, have shown great promise in analyzing RGB-D images and extracting meaningful insights. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been successfully applied to tasks such as object recognition, scene understanding, and gesture recognition using RGB-D data.

    In addition to deep learning, other approaches such as point cloud processing, feature extraction, and 3D reconstruction have also been instrumental in advancing RGB-D image analysis. These techniques enable researchers to extract detailed 3D information from RGB-D images, leading to more accurate and robust results.

    Overall, the field of RGB-D image analysis and processing is rapidly evolving, thanks to the continuous advancements in computer vision and pattern recognition. With the increasing availability of RGB-D cameras and the growing demand for intelligent systems, we can expect to see even more exciting developments in the near future. Stay tuned for the latest updates on this fascinating area of research!
    #RGBD #Image #Analysis #Processing #Advances #Computer #Vision #Pattern

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