[ad_1] Introduction: Image compression is a crucial aspect of modern technology as it allows for the efficient storage and transmission of digital images. With the increasing use of images in various applications such as social…
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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: 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] Introduction Stereo matching is a significant area of research in computer vision and image processing, which aims to estimate the disparity map between a pair of stereo images. Disparity estimation plays a crucial role…
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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: Panoptic segmentation is an emerging research area in computer vision that aims to provide a unified understanding of visual scenes by simultaneously segmenting both objects and stuff classes. Traditional methods in computer vision…
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[ad_1] Introduction Action recognition is a crucial task in video understanding and has gained significant attention in recent years due to its wide range of applications in various fields such as surveillance, human-computer interaction, sports…
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[ad_1] Introduction: Pose estimation for human body analysis is a rapidly growing field in computer vision and artificial intelligence. It involves the process of detecting and tracking the body joints and limbs of a human…
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[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…
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[ad_1] Introduction In recent years, there has been a growing interest in the development and application of deep learning techniques for the analysis of spatial data. Convolutional Deep Belief Networks (CDBNs) have emerged as a…
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