Tag Archives: Vision

Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition (Springer Tracts in Advanced Robotics Book 118)

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Price: $69.52
(as of Dec 27,2024 07:05:41 UTC – Details)



Are you interested in diving into the world of robotics, vision, and control? Look no further than the second edition of “Robotics, Vision and Control: Fundamental Algorithms In MATLAB®”! This completely revised, extended, and updated edition, part of the Springer Tracts in Advanced Robotics series, offers a comprehensive guide to the fundamental algorithms used in these fields.

Whether you’re a beginner or an experienced practitioner, this book provides valuable insights into key concepts and techniques. With MATLAB® as the primary tool, you’ll learn how to implement and simulate various algorithms for robotic systems, computer vision, and control systems. From kinematics and dynamics to computer vision algorithms and motion planning, this book covers a wide range of topics essential for understanding and developing robotic systems.

Don’t miss out on the opportunity to enhance your knowledge and skills in robotics, vision, and control. Get your hands on the second edition of “Robotics, Vision and Control: Fundamental Algorithms In MATLAB®” and take your understanding of these fields to the next level!
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Fundamentals of Computer Vision

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Price: $150.00
(as of Dec 27,2024 07:05:01 UTC – Details)




Publisher ‏ : ‎ Cambridge University Press; 1st edition (November 7, 2017)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 390 pages
ISBN-10 ‏ : ‎ 1107184886
ISBN-13 ‏ : ‎ 978-1107184886
Item Weight ‏ : ‎ 2.15 pounds
Dimensions ‏ : ‎ 7.5 x 1 x 10.5 inches


Computer vision is a field of study that enables computers to interpret and understand the visual world. It combines elements of artificial intelligence, machine learning, and computer science to analyze and process visual information such as images and videos.

Fundamentally, computer vision involves three main components: image acquisition, image processing, and image analysis.

1. Image acquisition: This is the process of capturing images or videos using cameras or other visual sensors. The quality of the images acquired can significantly impact the accuracy of the computer vision system. Factors such as resolution, lighting conditions, and camera angle need to be considered during image acquisition.

2. Image processing: Once images are acquired, they need to be pre-processed to enhance their quality and extract relevant features. This may involve tasks such as noise reduction, image enhancement, and image segmentation. Image processing techniques help in preparing the data for further analysis and interpretation.

3. Image analysis: The final step in computer vision involves analyzing and interpreting the processed images to extract meaningful information. This may include object detection, image classification, image recognition, and pattern recognition. Machine learning algorithms such as convolutional neural networks (CNNs) are commonly used in image analysis tasks to train models that can accurately identify and classify objects in images.

Overall, the fundamentals of computer vision lie in understanding how computers can perceive and interpret visual information. By mastering image acquisition, image processing, and image analysis techniques, researchers and developers can create powerful computer vision systems that have a wide range of applications in various industries such as healthcare, automotive, robotics, and security.
#Fundamentals #Computer #Vision

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Price: $29.99
(as of Dec 27,2024 06:39:27 UTC – Details)



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