Depth Estimation: Difference between revisions

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Depth Estimation<br>

Goal: Generate an ~~image of depths~~ from one or two images.

Goal: Generate an depth values from one or two images.

==Background==

[[File:Depth definitions.png|500px|thumb | Here reported distance is the z-distance.]]

===Z-depth vs Euclidean depth===

For standard (rectilinear) images, people typically use z-depth.

This is the depth to the camera projected along the z-axis.

The depth to the camera is called Euclidean depth.

You can convert between z-depth and euclidean depth by multiplying or dividing by the cosine of the angle from each pixel to the center of the image.

This angle is calculated by first computing the 2D distance from the pixel to the center of the image and converting this distance to an angle using the known field of view.

===Depth vs. Disparity===

For stereo methods, people usually estimate pixel disparity rather than depth.

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* [https://openaccess.thecvf.com/content_ECCV_2018/html/Sameh_Khamis_StereoNet_Guided_Hierarchical_ECCV_2018_paper.html StereoNet (ECCV 2018)] ([[StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction |My Summary]]) is a method by Google's Augmented Perception team.

* [http://visual.cs.ucl.ac.uk/pubs/casual3d/ Casual 3D photography (SIGGRAPH ASIA 2017)] includes a method for refining cost volumes and a system for synthesizing views from a few dozen photos]

==Depth from Motion==

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 Depth Estimation<br>
-Goal: Generate an image of depths from one or two images.
+Goal: Generate an depth values from one or two images.
 ==Background==
+[[File:Depth definitions.png|500px|thumb | Here reported distance is the z-distance.]]
+===Z-depth vs Euclidean depth===
+For standard (rectilinear) images, people typically use z-depth.
+This is the depth to the camera projected along the z-axis.
+The depth to the camera is called Euclidean depth.
+You can convert between z-depth and euclidean depth by multiplying or dividing by the cosine of the angle from each pixel to the center of the image.
+This angle is calculated by first computing the 2D distance from the pixel to the center of the image and converting this distance to an angle using the known field of view.
 ===Depth vs. Disparity===
 For stereo methods, people usually estimate pixel disparity rather than depth.
@@ Line 23: / Line 32: @@
 * [https://openaccess.thecvf.com/content_ECCV_2018/html/Sameh_Khamis_StereoNet_Guided_Hierarchical_ECCV_2018_paper.html StereoNet (ECCV 2018)] ([[StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction |My Summary]]) is a method by Google's Augmented Perception team.
 * [http://visual.cs.ucl.ac.uk/pubs/casual3d/ Casual 3D photography (SIGGRAPH ASIA 2017)] includes a method for refining cost volumes and a system for synthesizing views from a few dozen photos]
 ==Depth from Motion==