Performance evaluation of local colour invariants
By Gertjan J. Burghouts, Jan-Mark Geusebroek. Computer Vision and Image Understanding, 2009
351 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/7c660ea201217c1482cf81b20cb50671ceb123d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ling Shao
- Luc Van Gool
- Dacheng Tao
- Mohammed Bennamoun
- Ming-Hsuan Yang
- Li Fei-Fei
- Xiaogang Wang
- Andrew Zisserman
In Media Technology
- Christian Beecks
- Bangpeng Yao
- Matthew A. Brown
- Liang Wang
- Ling Shao
- Mohammed Bennamoun
- Sabine Süsstrunk
- Yulan Guo
Citations in the corpus
- Recent advances and trends in visual tracking: A review (2011, background): “More detailed performance evaluation of color descriptors can be found in [33].”
- Action Recognition with Exemplar Based 2.5D Graph Matching (2012, background): “– Locality-constrained linear (LLC) coding + spatial pyramid: Image features are multi-scale, multi-resolution color-SIFT [38] features with locality-constrained linear coding [35].”
- A Comprehensive Performance Evaluation of 3D Local Feature Descriptors (2015, background): “…2004; Mikolajczyk et al. 2005; Moreels and Perona 2007), 2D local feature descriptors (Mikolajczyk and Schmid 2005; Moreels and Perona 2005, 2007; Burghouts and Geusebroek 2009), and 3D keypoint detectors (Bronstein et al. 2010; Boyer et al. 2011; Salti et al. 2011, 2012; Tombari et al. 2013;…”
- Multi-spectral SIFT for scene category recognition (2011, methodology): “The images were processed using automatic white balancing for the RGB components, and equal weights on the RGB sensor responses for the NIR components, with standard gain control and gamma correction applied.”
- Distance based similarity models for content based multimedia retrieval (2013, methodology): “Except the partial investigation of the SIFT [Lowe, 2004] and CSIFT [Burghouts and Geusebroek, 2009] descriptors in the work of Beecks et al.”
- Pyramid of Spatial Relatons for Scene-Level Land Use Classification (2015, background): “SIFT features have shown great success on both computer vision and remote sensing applications [5], [27], [28], [42], [43], [44].”
- Scale Invariant Feature Transform (2012, background): “Burghouts and Geusebroek (2009) defined a set of image descriptors that were based on a set of colour invariants given an illumination model.”