Pamela Rott

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pamela Rott trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard Szeliski (in Computer Vision and Pattern Recognition)
  2. Michael F. Cohen (in Computer Vision and Pattern Recognition)
  3. Jue Wang (in Computer Vision and Pattern Recognition)
  4. Anat Levin (in Computer Vision and Pattern Recognition)
  5. Daniel Scharstein (in Computer Vision and Pattern Recognition)
  6. Dani Lischinski (in Computer Vision and Pattern Recognition)

Who trusts Pamela Rott

  1. Carsten Rother (in Computer Vision and Pattern Recognition)

Papers from Pamela Rott's perspective

Ordered by how strongly the researchers Pamela Rott trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. A Closed-Form Solution to Natural Image Matting (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Optimized Color Sampling for Robust Matting (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  4. Spectral Matting (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  5. A Database and Evaluation Methodology for Optical Flow
  6. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
  7. A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting
  8. Image and Video Matting: A Survey (Foundations and Trends in Computer Graphics and Vision)
  9. A Bayesian approach to digital matting (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  10. An iterative optimization approach for unified image segmentation and matting

Their papers