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CVPR
2011
IEEE
13 years 2 months ago
Image Retrieval with Geometry-Preserving Visual Phrases
The most popular approach to large scale image retrieval is based on the bag-of-visual-word (BoV) representation of images. The spatial information is usually reintroduced as a po...
Yimeng Zhang, Zhaoyin Jia, Tsuhan Chen
CVPR
2010
IEEE
14 years 1 months ago
Neuron Geometry Extraction by Perceptual Grouping in ssTEM images
In the field of neuroanatomy, automatic segmentation of electron microscopy images is becoming one of the main limiting factors in getting new insights into the functional struct...
Verena Kaynig, Thomas Fuchs, Joachim Buhmann
ECCV
2010
Springer
14 years 10 days ago
Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics
Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constrain...
Abhinav Gupta, Alexei A. Efros, Martial Hebert
CVPR
2012
IEEE
11 years 10 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
ECCV
1994
Springer
14 years 9 months ago
Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Pascal Fua, Yvan G. Leclerc