[ad_1] Introduction Image inpainting is a technique used in the field of computer vision to fill in missing or corrupted parts of an image, making it appear as though the missing portion was never there.…
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[ad_1] Introduction: Super-resolution is a crucial technique in the field of image processing that aims to enhance the quality of an image by increasing its resolution beyond the limits of the original image. This technique…
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[ad_1] Introduction Image stitching is the process of combining multiple images with overlapping sections to produce a single panoramic image. This technique has found widespread applications in various fields such as virtual reality, surveillance, and…
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[ad_1] Introduction Visual odometry is a key component of visual simultaneous localization and mapping (SLAM) systems, which are used in robotics, computer vision, augmented reality, and autonomous vehicles. Visual odometry refers to the estimation of…
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[ad_1] Introduction Simultaneous Localization and Mapping (SLAM) is a crucial technology for autonomous navigation systems, allowing robots to understand their surroundings and navigate in unknown environments. With the increasing demand for autonomous vehicles and drones,…
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[ad_1] Introduction: Structure from Motion (SfM) is a computer vision technique that enables the reconstruction of three-dimensional (3D) structures from two-dimensional images. This technology has revolutionized the field of 3D reconstruction by providing a cost-effective…
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[ad_1] Thesis Overview: Title: Optical flow estimation for motion analysis Introduction: In the field of computer vision, optical flow estimation is a critical task that involves tracking the movement of objects in a sequence of…
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[ad_1] Introduction Instance segmentation is a computer vision task that aims to detect individual object instances in an image and classify each pixel as belonging to a particular object category. This process is crucial for…
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[ad_1] Introduction Semantic segmentation is a crucial task in computer vision that involves assigning a class label to each pixel in an image. This technique plays a significant role in various applications such as autonomous…
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[ad_1] Introduction Scene understanding refers to the ability of a computer system to interpret and make sense of visual data in a given environment. This process involves recognizing objects, inferring relationships between them, and understanding…
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