[ad_1] Introduction In recent years, 3D point cloud processing has emerged as a key technology for analyzing 3D data in various fields such as computer vision, robotics, and augmented reality. Point clouds are collections of…
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[ad_1] Introduction Human pose estimation is a crucial task in computer vision and motion analysis, with applications ranging from action recognition and virtual reality to sports analytics and healthcare monitoring. In recent years, there has…
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[ad_1] Introduction: Understanding 3D scenes is a crucial aspect of spatial reasoning in various fields such as computer vision, robotics, and augmented reality. The ability to interpret and analyze 3D scenes is essential for applications…
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[ad_1] Introduction: 3D shape generation is an emerging field in computer science and engineering that involves creating three-dimensional models of objects using computer algorithms. This process is essential in various industries such as gaming, virtual…
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[ad_1] Introduction: Three-dimensional (3D) shape completion is a significant problem in computer vision and graphics, with applications in various fields such as robotics, virtual reality, and medical imaging. The task involves predicting the complete shape…
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[ad_1] Introduction: The field of 3D shape retrieval has gained significant attention in recent years due to the increasing availability of 3D shape data in various applications such as computer-aided design, virtual reality, and augmented…
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[ad_1] Introduction Colorization for monochrome images is a fascinating and challenging topic in the field of image processing and computer vision. The process of adding color to black and white images has been of interest…
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[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: 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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