Nonlinear disparity mapping for stereoscopic 3D

By Manuel Lang, Alexander Sorkine-Hornung, Oliver Wang, Steven Poulakos, A. Smolic, Markus H. Gross. ACM Transactions on Graphics, 2010

422 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/604b1e5e2799d66b0c3a8e4f7045a8ecd1a7c8e6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Simon Niklaus
2. Wei Yin
3. Chunhua Shen
4. Long Mai
5. Oliver Wang
6. Jianming Zhang
7. Yebin Liu
8. Qionghai Dai

Citations in the corpus

• Light Field Image Processing: An Overview (2017, background): “explore simple depth remapping functions [264], [265], while others rely on perceptual considerations [266]–[268], or devise a means of cutting through the EPI volume generating views”
• Learning to Recover 3D Scene Shape from a Single Image (2020, background): “Moreover, web stereo images and videos can only provide depth supervision up to a scale and shift due to the unknown camera baselines and stereoscopic post processing [23].”
• 3D High-Efficiency Video Coding for Multi-View Video and Depth Data (2013, unknown): “The first approach only operates on the decoded video data and is described in detail in [27].”