解读Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （1）_depth map from footage. 500mills posted a topic in

作者：Guff_9hys | 2024-08-13 10:57:47

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depth map from footage. 500mills posted a topic in general houdini questions i feel that this is probably impossible to try to recreate. i have footage of a person talking i want to create a depth map from it so i can use it as a displacement map..

解读Depth Map Prediction from a Single Image using a Multi-Scale Deep Network （1）

我不会把这些翻译成中文，一是麻烦，二是因为英语是无法回避的！

先来看一下摘要，可以得到一些信息：

(1) Predicting depth is an essential component in understanding the 3D geometry of a scene

(2) A new method is presented to find depth relations from a single view by employing two

deep network stacks:

a. makes a coarse global prediction based on the entire image

b. refines this prediction locally

(3) apply a scale-invariant error to help measure depth relations

再来看看Inroduction和Related work,可以得到前人在做深度估计的成就

(1)Provided accurate image correspondences, depth can be recovered deterministically in the stereo

case [5]

(2) predict depth from a set of image features using linear regression and a MRF [15]

(3) integrate semantic object labels with monocular depth features to improve performance [12]

(4) use a KNN transfer mechanism based on SIFT Flow to estimate depths of static backgrounds

from single images, which they augment with motion information to better estimate moving

foreground subjects in video [7, 11]

当然，我的摘抄分析不一定完全。从他人成就来看，用CNN处理单目深度估计的思想是超前的

来看看他们怎么叙述自己的Approach，

从图1（Model architecture），很容易了解CNN网络处理图片的过程

如果你像我一样不明把conv,stride,pool的含义，可以参考这篇博文点击打开链接

学习这篇博文中。。。。。。

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