fix typo and add images
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@@ -318,7 +318,7 @@ $$
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p_s\sim K\hat{T}_{t\to s}\hat{D}_t(p_t)K^{-1}p_t
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p_s\sim K\hat{T}_{t\to s}\hat{D}_t(p_t)K^{-1}p_t
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$$
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$$
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The we use spacial transformer network to sample continuous pixel coordinates.
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Then we use spacial transformer network to sample continuous pixel coordinates.
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### Compensation for PoseNet & DepthNet
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### Compensation for PoseNet & DepthNet
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@@ -336,7 +336,7 @@ Since it's inevitable that there are some moving objects or occlusions between t
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This is a method that use pair of images as Left and Right eye to estimate depth. Increased consistency by flipping the right-left relation.
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This is a method that use pair of images as Left and Right eye to estimate depth. Increased consistency by flipping the right-left relation.
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**Intuition:** Given a calibarated pair of binocular cameras, if we cna learn a function that is able to reconstruct one image from the other, then we have learned something about the depth of the scene.
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**Intuition:** Given a calibarated pair of binocular cameras, if we can learn a function that is able to reconstruct one image from the other, then we have learned something about the depth of the scene.
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### DispNet and Scene flow
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### DispNet and Scene flow
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public/CSE5519/Left-right_consistency_Network.png.png
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public/CSE5519/Left-right_consistency_Network.png.png
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