Corpus ID: 11853184

Depth Estimation from Single Image Using CNN-Residual Network

@inproceedings{Geng2017DepthEF,
  title={Depth Estimation from Single Image Using CNN-Residual Network},
  author={Z. Geng},
  year={2017}
}
  • Z. Geng
  • Published 2017
  • Computer Science
In this project, we tackle the problem of depth estimation from single image. The mapping between a single image and the depth map is inherently ambiguous, and requires both global and local information. We employ a fully convolutional architecture, which first extracts image feature by pretrained ResNet-50 network. We do transfer learning by replacing the fully connected layer of ResNet-50 with upsampling blocks to recover the size of depth map. The upsampling block combines residual learning… Expand
Depth Estimation based on a Single Close-up Image with Volumetric Annotations in the Wild: A Pilot Study
  • F. P. Lo, Yingnan Sun, B. Lo
  • Computer Science
  • 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
  • 2019

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