Computer Vision and Image Understanding

By Yasmina Andreu, F. Chiarugi, S. Colantonio, G. Giannakakis, Daniela Giorgi, P. Henríquez, Eleni Kazantzaki, D. Manousos, K. Marias, B. Matuszewski and 4 more. 2016

How researchers see this paper

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

1. Yu Xiang
2. Dieter Fox
3. Gu Wang
4. Xiangyang Ji
5. Yi Li
6. Enzo Ferrante
7. Jitendra Malik
8. Sergey Levine

Citations in the corpus

• Slice-to-volume medical image registration: a survey (2017, methodology): “Classical examples of such descriptors successfully applied in different computer vision tasks are the Scale-Invariant Feature Transform (SIFT) (Lowe, 1999), the Harris detector (Harris and Stephens, 1988), the Histogram of Oriented Gradients (HOG) (Dalal and Triggs, 2005), Speeded Up Robust Feature”
• DeepIM: Deep Iterative Matching for 6D Pose Estimation (2018, methodology): “Keypoint-based features such as SIFT (Lowe, 1999) or SURF (Bay et al., 2008) are widely used.”