Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation

By Karsten Mühlmann, D. Maier, Jürgen W. Hesser, R. Männer. Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), 2001

335 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/7c35128e27d4f9866bbd4947b22107295f1d953f

How researchers see this paper

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

In Computer Graphics and Computer-Aided Design

1. Jianwen Luo
2. Elisa E. Konofagou

In Computer Vision and Pattern Recognition

1. Jianwen Luo
2. Myron Z. Brown
3. Gregory Hager
4. Stefan K. Gehrig
5. Nicolai Schneider
6. Darius Burschka
7. Elisa E. Konofagou
8. David Pfeiffer

In Ocean Engineering

1. Jianwen Luo
2. Myron Z. Brown
3. Gregory Hager
4. Darius Burschka
5. Elisa E. Konofagou

Citations in the corpus

• Exploiting the Power of Stereo Confidences (2013, methodology): “Note that an approximate of the LRC is very efficient to compute [16].”
• A Fast Normalized Cross-Correlation Calculation Method for Motion Estimation (2010, positive): “the calculation of the cc of sliding windows was obtained by adding in the new row sums and subtracting out the previous ones, similar to the approach of box filtering in the field of template matching [44]–[50].”
• Advances in Computational Stereo (2003, methodology): “Variations include [26], [56], [57], and [76]; [57] provides a thorough discussion.”