Depth Estimation Using Sparse Depth and Transformer

Roopak Malik; Praful Hambarde; Subrahmanyam Murala

doi:10.1007/978-3-031-11349-9_29

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Depth Estimation Using Sparse Depth and Transformer

Roopak Malik Praful Hambarde Subrahmanyam Murala

Year: 2022 Communications in computer and information science Pages: 329-337 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-11349-9_29

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Keywords:

Unavailability Computer science Artificial intelligence Depth map Transformer Encoder Ambiguity Computer vision RGB color model Pattern recognition (psychology) Image (mathematics) Mathematics Engineering Voltage

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Depth Estimation Using Sparse Depth and Transformer

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