Search Results for author: Daniel Scharstein

Found 6 papers, 2 papers with code

A Practical Stereo Depth System for Smart Glasses

no code implementations CVPR 2023 Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele

We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with a fallback to monocular depth estimation when rectification is unreliable.

Monocular Depth Estimation Stereo Depth Estimation

Semi-Global Stereo Matching with Surface Orientation Priors

no code implementations3 Dec 2017 Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha

In this paper we evaluate plane orientation priors derived from stereo matching at a coarser resolution and show that such priors can yield significant performance gains for difficult weakly-textured scenes.

Stereo Matching Stereo Matching Hand

Efficient High-Resolution Stereo Matching using Local Plane Sweeps

no code implementations CVPR 2014 Sudipta N. Sinha, Daniel Scharstein, Richard Szeliski

We present a stereo algorithm designed for speed and efficiency that uses local slanted plane sweeps to propose disparity hypotheses for a semi-global matching algorithm.

Clustering Stereo Matching +2

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

no code implementations27 Nov 2013 Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd Zickler, Kate Saenko

To produce images that are suitable for display, tone-mapping is widely used in digital cameras to map linear color measurements into narrow gamuts with limited dynamic range.

Tone Mapping

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