[深度学习论文笔记][Depth Estimation] Depth Map Prediction from a Single Image using a Multi-Scale Deep Netw_david eigen, christian puhrsch, and rob fergus. de

Eigen, David, Christian Puhrsch, and Rob Fergus. “Depth map prediction from a single image using a multi-scale deep network.” Advances in neural information processing systems. 2014. (Citations: 161).

1 Depth Estimation From a Single Image
Need to use the monocular depth cues such as line angles and perspective, objective sizes, image position, and atmospheric effects. This task is inherently ambiguous. Given an image, an infinite number of possible world scenes may have produced it.

2 Architecture

In a Nutshell See Fig. 14.
• A coarse-scale network first predicts the depth of the scene at a global level.
• This is then refined within local regions by a fine-scale network.
• Both stacks are applied to the original input.

• The coarse network’s output is passed to the fine network as additional first-layer image features.