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Survey of depth from monocular image and videos using deep learning with Rajapaksha

Survey of depth from monocular image and videos using deep learning with Rajapaksha


Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey



Estimating depth from single RGB images and videos is of widespread interest due to its applications in many areas, including ... 3D reconstruction, digital entertainment ...


More than 500 deep learning-based papers have been published in the past 10 years, which indicates the growing interest in the task.


This paper presents a comprehensive survey of the existing deep learning-based methods, the challenges they address, and how ... evolved in their architecture and supervision ...


It provides a taxonomy for classifying the current work based on their input and output modalities, network architectures, and learning methods.


It also discusses the major milestones in the history of monocular depth estimation, and different pipelines, datasets, and evaluation metrics used in existing methods.



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