Computer Vision - exploring intelligent perception and decision making in autonomous systems
Fouad Sabry
Maison d'édition: One Billion Knowledgeable
Synopsis
1: Computer Vision: This chapter introduces the field of computer vision, discussing how machines process visual data to mimic human vision. 2: Machine Vision: Focuses on industrial applications of vision systems, such as quality control and automation. 3: Image Analysis: Explores techniques for interpreting and manipulating images, from basic transformations to complex segmentation tasks. 4: Optical Flow: Details how optical flow methods are used to track motion in video and images, essential for robotics and animation. 5: Gesture Recognition: Covers the technology behind recognizing human gestures, a key element in humancomputer interaction. 6: 3D Scanning: Discusses methods for capturing threedimensional data of objects, fundamental for virtual reality and modeling. 7: Pose (Computer Vision): Examines algorithms used to determine the position and orientation of objects in 3D space. 8: Stereo Cameras: Explores stereo vision techniques to create 3D depth maps from 2D images, widely used in robotics. 9: Articulated Body Pose Estimation: Investigates methods to estimate body pose, a crucial area in surveillance and interactive technology. 10: Active Vision: Discusses systems that can control their own viewpoint to improve the quality of vision, enabling better decisionmaking in robots. 11: Activity Recognition: Examines how computer vision systems can interpret human activities, applying this to surveillance, healthcare, and more. 12: 3D Reconstruction: Focuses on converting 2D images into 3D models, which is critical for virtual environments and simulations. 13: Structuredlight 3D Scanner: Describes techniques for 3D scanning using structured light, offering high accuracy for detailed models. 14: Visual Odometry: Explains how systems track their own movement through the analysis of visual input, essential in autonomous vehicles. 15: Timeofflight Camera: Introduces this technology, used in depth sensing for applications like robotics and augmented reality. 16: Finger Tracking: Looks at the techniques for tracking finger movements, key to interactive systems and humanrobot interfaces. 17: Chessboard Detection: Explains how computer vision can detect chessboards for camera calibration and feature extraction in robotics. 18: Visual Computing: Discusses the interdisciplinary field combining computer vision and computing, crucial for AI and robotics systems. 19: Smart Camera: Delves into the use of advanced cameras that can process images and make decisions autonomously, paving the way for intelligent systems. 20: Flexible Manufacturing System: Explores the role of computer vision in enhancing flexibility and efficiency in automated manufacturing. 21: InspecVision: Covers the application of computer vision for precision inspection in industrial settings, improving quality control and efficiency.
Disponible depuis: 17/12/2024.
Longueur d'impression: 221 pages.
