VocMatch: Efficient Multiview Correspondence for Structure from Motion

By Michal Havlena, Konrad Schindler. 2014

64 citations recorded by the source corpus.

How researchers see this paper

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

1. Johannes L. Schönberger
2. Xiang Bai
3. Song Bai
4. Jan-Michael Frahm
5. Jared Heinly
6. Enrique Dunn
7. Zhichao Zhou
8. Zhaoxiang Zhang

Citations in the corpus

• GIFT: A Real-Time and Scalable 3D Shape Search Engine (2016, background): “Since at least a set-to-set matching strategy [26, 27, 28, 16, 9] is required, this stage suffers from high time complexity even when using the simplest Hausdorff matching.”
• Structure-from-Motion Revisited (2016, background): “A variety of approaches tackle the problem of scalable and efficient matching [1, 20, 37, 62, 28, 49, 30].”
• Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) (2015, methodology): “[10] propose to circumvent feature matching and pairwise image verification altogether by using vocabulary-tree-based image retrieval as the correspon-”