3D Depth From a Single Photograph | Two Minute Papers #54

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This piece of work tries to estimate depth information from an input photogaph. This means that it looks at the photo and tries to tell how far away parts of the image are from the camera, and the final goal is that we provide a photograph for which the depth information is completely unknown and we ask the algorithm to provide it for us.

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The paper "3-D Depth Reconstruction from a Single Still Image" is available here:
http://www.cs.cornell.edu/~asaxena/learningdepth/saxena_ijcv07_learningdepth.pdf

The source of the shown video at the end:
https://www.youtube.com/watch?v=GWWIn29ZV4Q

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Tags:
two minute papers
3-D Depth Reconstruction from a Single Still Image
depth from photograph
deep photograph
deep images
3d model from photo
3d model from image
depth from image
Monocular vision
Learning depth
3D reconstruction
Dense reconstruction
Markov random field
Depth estimation
Monocular depth
Stereo vision
Hand-held camera
Visual modeling