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Tag: Vision

  • Image Analysis and Processing – ICIAP 2017: 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II (Image … Vision, Pattern Recognition, and Graphics)

    Image Analysis and Processing – ICIAP 2017: 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II (Image … Vision, Pattern Recognition, and Graphics)


    Price: $54.99
    (as of Dec 28,2024 13:23:18 UTC – Details)




    ASIN ‏ : ‎ 3319685473
    Publisher ‏ : ‎ Springer; 1st ed. 2017 edition (October 14, 2017)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 823 pages
    ISBN-10 ‏ : ‎ 9783319685472
    ISBN-13 ‏ : ‎ 978-3319685472
    Item Weight ‏ : ‎ 2.49 pounds
    Dimensions ‏ : ‎ 6.1 x 1.86 x 9.25 inches


    Image Analysis and Processing – ICIAP 2017: 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II (Image Understanding, Computer Vision, Pattern Recognition, and Graphics)

    The 19th International Conference on Image Analysis and Processing (ICIAP) took place in Catania, Italy from September 11-15, 2017. This prestigious conference brought together researchers, scientists, and professionals from around the world to discuss the latest advancements in image analysis and processing.

    Part II of the conference proceedings focused on topics such as image understanding, computer vision, pattern recognition, and graphics. Researchers presented their work on a wide range of cutting-edge technologies and methodologies, including deep learning, image segmentation, object recognition, and image restoration.

    The conference provided a platform for participants to exchange ideas, collaborate on research projects, and explore new opportunities in the field of image analysis and processing. With a diverse range of topics and speakers, ICIAP 2017 was a valuable event for anyone interested in the latest developments in computer vision and image processing.

    Overall, the conference was a great success, and attendees left with new insights, connections, and inspiration to continue pushing the boundaries of image analysis and processing. We look forward to the next edition of ICIAP and the continued growth of this important field.
    #Image #Analysis #Processing #ICIAP #19th #International #Conference #Catania #Italy #September #Proceedings #Part #Image #Vision #Pattern #Recognition #Graphics

  • Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, … Vision, Pattern Recognition, and Graphics)

    Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, … Vision, Pattern Recognition, and Graphics)


    Price: $69.99
    (as of Dec 28,2024 13:01:47 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (September 23, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 244 pages
    ISBN-10 ‏ : ‎ 3030875822
    ISBN-13 ‏ : ‎ 978-3030875824
    Item Weight ‏ : ‎ 13.4 ounces
    Dimensions ‏ : ‎ 6.1 x 0.55 x 9.25 inches


    We are excited to announce the upcoming Second International Workshop on Simplifying Medical Ultrasound (ASMUS 2021), which will be held in conjunction with MICCAI 2021 in Strasbourg, France on September 27, 2021.

    The workshop will focus on the latest advancements in medical ultrasound technology, with a particular emphasis on simplifying the process for both healthcare professionals and patients. Topics of discussion will include innovative imaging techniques, artificial intelligence applications, and user-friendly interfaces for ultrasound devices.

    Experts in the fields of medical imaging, computer vision, pattern recognition, and graphics will come together to share their research and insights at ASMUS 2021. Attendees can expect keynote presentations, panel discussions, and hands-on workshops to deepen their understanding of the evolving landscape of medical ultrasound.

    We invite researchers, practitioners, and industry professionals to join us at ASMUS 2021 to collaborate, network, and explore the future of medical ultrasound technology. Stay tuned for more updates on the workshop program and registration details.
    #Simplifying #Medical #Ultrasound #International #Workshop #ASMUS #Held #Conjunction #MICCAI #Strasbourg #France #September #Vision #Pattern #Recognition #Graphics

  • Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III (Image … Vision, Pattern Recognition, and Graphics)

    Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III (Image … Vision, Pattern Recognition, and Graphics)


    Price: $54.99
    (as of Dec 28,2024 12:35:57 UTC – Details)



    Welcome to the Third Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2020) held in Nanjing, China from October 16 to 18, 2020. In this post, we will be focusing on the proceedings of Part III of the conference, specifically on Image Vision, Pattern Recognition, and Graphics.

    The PRCV 2020 conference aims to bring together researchers, practitioners, and experts in the field of pattern recognition and computer vision to exchange ideas, share the latest research findings, and discuss emerging trends in the field. With a focus on advancing the capabilities of machines to understand and interpret visual information, the conference covers a wide range of topics including image processing, object recognition, video analysis, and more.

    Part III of the proceedings showcases the latest research and developments in image vision, pattern recognition, and graphics. From advanced algorithms for image segmentation and feature extraction to cutting-edge techniques for object detection and tracking, the papers presented in this section provide valuable insights into the current state of the art in computer vision and pattern recognition.

    We invite you to explore the innovative research presented at PRCV 2020 and join us in shaping the future of pattern recognition and computer vision. Stay tuned for more updates on the exciting advancements in the field!
    #Pattern #Recognition #Computer #Vision #Chinese #Conference #PRCV #Nanjing #China #October #Proceedings #Part #III #Image #Vision #Pattern #Recognition #Graphics

  • Wifi Security Camera 8MP 4K Dual Lens 1-8X Zoom Outdoor PTZ IP Night Vision Cam

    Wifi Security Camera 8MP 4K Dual Lens 1-8X Zoom Outdoor PTZ IP Night Vision Cam



    Wifi Security Camera 8MP 4K Dual Lens 1-8X Zoom Outdoor PTZ IP Night Vision Cam

    Price : 48.59 – 45.67

    Ends on : N/A

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    Introducing our latest Wifi Security Camera – the 8MP 4K Dual Lens Outdoor PTZ IP Night Vision Cam! This cutting-edge camera offers crystal clear 4K resolution with an 8MP sensor, dual lenses for enhanced coverage, and 1-8X zoom capabilities for maximum flexibility.

    With its PTZ (Pan-Tilt-Zoom) function, you can remotely control the camera to pan, tilt, and zoom to get the perfect view of your outdoor space. Whether you’re monitoring your home, business, or any other property, this camera has you covered.

    The built-in night vision feature ensures that you can see clearly even in low light conditions, providing round-the-clock security. And with its Wifi connectivity, you can easily access live footage from your smartphone, tablet, or computer, anytime and anywhere.

    Don’t compromise on the security of your property – invest in the Wifi Security Camera 8MP 4K Dual Lens Outdoor PTZ IP Night Vision Cam today!
    #Wifi #Security #Camera #8MP #Dual #Lens #18X #Zoom #Outdoor #PTZ #Night #Vision #Cam, Cloud Storage

  • Computer Vision: Models, Learning, and Inference, Prince, Simon J. D., 978110701

    Computer Vision: Models, Learning, and Inference, Prince, Simon J. D., 978110701



    Computer Vision: Models, Learning, and Inference, Prince, Simon J. D., 978110701

    Price : 30.83

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    In this post, we will be discussing the book “Computer Vision: Models, Learning, and Inference” by Simon J. D. Prince.

    This comprehensive book provides a thorough introduction to the field of computer vision, covering a wide range of topics including image formation, image processing, feature extraction, and object recognition. The author, Simon J. D. Prince, is an expert in the field and provides clear explanations of complex concepts, making this book accessible to both beginners and experts in the field.

    One of the key strengths of this book is its emphasis on learning and inference in computer vision. The author covers various machine learning techniques such as neural networks, support vector machines, and decision trees, and shows how these techniques can be applied to solve real-world computer vision problems.

    Overall, “Computer Vision: Models, Learning, and Inference” is a must-read for anyone interested in computer vision. Whether you are a student looking to learn the basics of the field or a researcher looking for advanced techniques, this book has something to offer.

    If you are interested in diving deeper into the world of computer vision, be sure to check out this book by Simon J. D. Prince.
    #Computer #Vision #Models #Learning #Inference #Prince #Simon

  • Visual Computing Fabiana Rodrigues Leta : Augmented Vision and Reality vol 4

    Visual Computing Fabiana Rodrigues Leta : Augmented Vision and Reality vol 4



    Visual Computing Fabiana Rodrigues Leta : Augmented Vision and Reality vol 4

    Price : 25.00

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    Visual Computing Fabiana Rodrigues Leta : Augmented Vision and Reality vol 4

    In the world of visual computing, Fabiana Rodrigues Leta is a name that stands out for her groundbreaking work in the field of augmented vision and reality. With the release of her latest volume, “Augmented Vision and Reality vol 4,” Leta continues to push the boundaries of what is possible with visual computing technology.

    This latest volume explores the latest advancements in augmented reality, virtual reality, and computer vision, showcasing the cutting-edge research and development that Leta and her team have been working on. From immersive experiences that blur the lines between the physical and digital worlds to innovative applications that enhance our everyday lives, “Augmented Vision and Reality vol 4” is a must-read for anyone interested in the future of visual computing.

    With a keen eye for detail and a passion for pushing the limits of technology, Fabiana Rodrigues Leta continues to be a leading figure in the field of visual computing. Her work is not only shaping the way we interact with technology today, but also paving the way for the future of augmented vision and reality.

    Pick up your copy of “Augmented Vision and Reality vol 4” today and discover the exciting world of visual computing through the eyes of Fabiana Rodrigues Leta.
    #Visual #Computing #Fabiana #Rodrigues #Leta #Augmented #Vision #Reality #vol, augmented reality

  • Modern Computer Vision with PyTorch: A practical roadmap from deep learning: New

    Modern Computer Vision with PyTorch: A practical roadmap from deep learning: New



    Modern Computer Vision with PyTorch: A practical roadmap from deep learning: New

    Price : 64.73

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    The field of computer vision has seen incredible advancements in recent years, thanks to the power of deep learning and frameworks like PyTorch. In this post, we’ll explore a practical roadmap for applying modern computer vision techniques using PyTorch.

    1. Understanding the basics: Before diving into complex computer vision tasks, it’s crucial to have a solid understanding of the basics. This includes topics like image preprocessing, data augmentation, and model evaluation. PyTorch provides powerful tools for these tasks, making it easy to get started.

    2. Building a strong foundation: With the basics in place, it’s time to start building a strong foundation for your computer vision projects. This involves choosing the right deep learning architecture for your task, fine-tuning pre-trained models, and experimenting with different hyperparameters. PyTorch’s flexibility and ease of use make this process much smoother.

    3. Leveraging advanced techniques: Once you have a solid foundation, you can start exploring more advanced computer vision techniques. This includes topics like object detection, image segmentation, and image classification. PyTorch provides a wide range of pre-trained models and libraries for these tasks, making it easy to implement cutting-edge algorithms.

    4. Real-world applications: Finally, it’s time to apply your newfound knowledge to real-world applications. Whether you’re working on autonomous vehicles, medical imaging, or any other computer vision task, PyTorch’s versatility and performance make it an ideal choice for modern computer vision projects.

    By following this practical roadmap, you can harness the power of deep learning and PyTorch to tackle even the most challenging computer vision tasks. Stay tuned for more updates on how to leverage the latest advancements in computer vision for your projects!
    #Modern #Computer #Vision #PyTorch #practical #roadmap #deep #learning

  • A Practical Approach for Image Processing & Computer Vision In MATLAB: A Practical Approach for Image Processing & Computer Vision In MATLAB

    A Practical Approach for Image Processing & Computer Vision In MATLAB: A Practical Approach for Image Processing & Computer Vision In MATLAB


    Price: $42.73
    (as of Dec 28,2024 11:29:35 UTC – Details)




    Publisher ‏ : ‎ CreateSpace Independent Publishing Platform (December 26, 2016)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 232 pages
    ISBN-10 ‏ : ‎ 1541286022
    ISBN-13 ‏ : ‎ 978-1541286023
    Item Weight ‏ : ‎ 1.68 pounds
    Dimensions ‏ : ‎ 8.5 x 0.55 x 11 inches


    Image processing and computer vision are important fields in the realm of artificial intelligence and machine learning. MATLAB, a powerful software tool, provides a comprehensive platform for implementing various image processing and computer vision algorithms.

    In this post, we will discuss a practical approach for image processing and computer vision in MATLAB. We will cover the basic steps involved in processing and analyzing images using MATLAB, along with some common techniques and algorithms.

    1. Loading and displaying images:
    The first step in image processing is to load an image into MATLAB using the ‘imread’ function. Once the image is loaded, it can be displayed using the ‘imshow’ function.

    2. Preprocessing images:
    Image preprocessing involves enhancing the quality of the image before further analysis. This can include operations such as noise reduction, image sharpening, and contrast enhancement. MATLAB provides various functions for performing these operations, such as ‘imfilter’ for filtering and ‘imadjust’ for adjusting image contrast.

    3. Image segmentation:
    Image segmentation is the process of dividing an image into different regions or objects. MATLAB offers several segmentation algorithms, such as thresholding, edge detection, and clustering. These algorithms can be used to identify and extract specific features or objects in an image.

    4. Feature extraction:
    Once the image has been segmented, features can be extracted from the regions of interest. These features can include color, texture, shape, and size. MATLAB provides functions for extracting features, such as ‘regionprops’ for computing region properties and ‘extractFeatures’ for extracting features from images.

    5. Object detection and recognition:
    Object detection and recognition are key tasks in computer vision. MATLAB provides tools for implementing object detection algorithms, such as Haar cascades and deep learning models. These algorithms can be used to detect and recognize objects in images or videos.

    6. Image classification:
    Image classification is the process of categorizing images into different classes or categories. MATLAB offers several classification algorithms, such as support vector machines, k-nearest neighbors, and deep learning models. These algorithms can be trained on a labeled dataset to classify images into different classes.

    In conclusion, MATLAB provides a comprehensive platform for image processing and computer vision. By following a practical approach and utilizing the various tools and algorithms available in MATLAB, you can implement sophisticated image processing and computer vision applications. Whether you are a beginner or an expert in the field, MATLAB offers a versatile and powerful environment for exploring and implementing image processing and computer vision algorithms.
    #Practical #Approach #Image #Processing #Computer #Vision #MATLAB #Practical #Approach #Image #Processing #Computer #Vision #MATLAB

  • Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I (Image … Vision, Pattern Recognition, and Graphics)

    Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I (Image … Vision, Pattern Recognition, and Graphics)


    Price: $109.99 – $70.00
    (as of Dec 28,2024 11:01:42 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (October 11, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 792 pages
    ISBN-10 ‏ : ‎ 3030606325
    ISBN-13 ‏ : ‎ 978-3030606329
    Item Weight ‏ : ‎ 2.63 pounds
    Dimensions ‏ : ‎ 6.1 x 1.79 x 9.25 inches


    Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

    The Third Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2020) is set to take place in Nanjing, China from October 16-18, 2020. This conference will bring together leading researchers, engineers, and practitioners in the field of computer vision and pattern recognition to discuss the latest developments and advancements in the field.

    The proceedings of PRCV 2020 will be divided into multiple parts, with Part I focusing on topics such as image processing, computer vision, pattern recognition, and graphics. Researchers and experts from around the world will present their latest research findings and share insights on cutting-edge technologies and techniques in these areas.

    Attendees can look forward to engaging keynote speeches, panel discussions, paper presentations, and networking opportunities at PRCV 2020. This conference is a must-attend event for anyone interested in the fields of computer vision, pattern recognition, and graphics.

    Stay tuned for more updates on PRCV 2020 and be sure to mark your calendars for this exciting conference in Nanjing, China.
    #Pattern #Recognition #Computer #Vision #Chinese #Conference #PRCV #Nanjing #China #October #Proceedings #Part #Image #Vision #Pattern #Recognition #Graphics

  • Energy Minimization Methods in Computer Vision and Pattern

    Energy Minimization Methods in Computer Vision and Pattern



    Energy Minimization Methods in Computer Vision and Pattern

    Price : 54.95

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    Recognition

    Energy minimization methods are a crucial tool in the field of computer vision and pattern recognition. These methods are used to solve optimization problems that arise in tasks such as image segmentation, object recognition, and stereo matching.

    One of the key concepts in energy minimization is the use of a graphical model to represent the problem at hand. Graphical models, such as Markov random fields or conditional random fields, allow us to capture the dependencies between variables in the problem and formulate it as an energy function.

    The goal of energy minimization methods is to find the configuration of variables that minimizes the energy function. This is typically done using iterative optimization algorithms, such as graph cuts, belief propagation, or simulated annealing.

    By minimizing the energy function, we can find the most likely solution to the problem at hand, whether it be segmenting an image into its constituent parts or identifying objects in a scene.

    Overall, energy minimization methods play a crucial role in computer vision and pattern recognition, allowing us to tackle complex optimization problems and extract meaningful information from visual data.
    #Energy #Minimization #Methods #Computer #Vision #Pattern

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