A completed modeling of local binary pattern operator for texture classification
… image inpainting method to more deeply exploit visual redundancy inherent in color images…
We first represent the original image as its center gray level (C) and the local difference. The …
We first represent the original image as its center gray level (C) and the local difference. The …
Matching local self-similarities across images and videos
E Shechtman, M Irani - … computer vision and pattern recognition, 2007 - ieeexplore.ieee.org
… of pixel-wise measures (intensities, color, or simple local texture properties), and are not …
a “local self-similarity” descriptor dq with every pixel q. This is done by correlating the image …
a “local self-similarity” descriptor dq with every pixel q. This is done by correlating the image …
Object recognition from local scale-invariant features
DG Lowe - Proceedings of the seventh IEEE international …, 1999 - ieeexplore.ieee.org
… that are maxima or minima of a difference-of-Gaussian function. … ing can be performed
relative to a consistent local 2D co… -based recognition include eigenspace matching [13], color …
relative to a consistent local 2D co… -based recognition include eigenspace matching [13], color …
Image retrieval using color and shape
AK Jain, A Vailaya - Pattern recognition, 1996 - Elsevier
… color-based retrieval by combining the associated similarity … We next describe in detail the
various experiments done to … edited volumes on image processing and pattern recognition. He …
various experiments done to … edited volumes on image processing and pattern recognition. He …
Globally and locally consistent image completion
… Not only is it necessary to complete textured patterns, it is … of the image: they only local at
similarity on a local patch level. … -processing by blending the completed region with the color of …
similarity on a local patch level. … -processing by blending the completed region with the color of …
Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor
… Color versions of one or more of the figures in this paper are … is used to measure the similarity
between two histograms … and performed the experiments on the gray-level images again. …
between two histograms … and performed the experiments on the gray-level images again. …
[PDF][PDF] Large scale online learning of image similarity through ranking.
… for a wide variety of image processing problems. However, … We first select a palette or typical
colors by training a color … the real semantic precision, we performed a rating experiment with …
colors by training a color … the real semantic precision, we performed a rating experiment with …
Evaluating color descriptors for object and scene recognition
K Van De Sande, T Gevers… - … transactions on pattern …, 2009 - ieeexplore.ieee.org
… color descriptors, however, it is unclear what similarities … has been performed with SIFT and
the best four color SIFT variants (… 100 papers on color image processing, image retrieval, and …
the best four color SIFT variants (… 100 papers on color image processing, image retrieval, and …
Learning fine-grained image similarity with deep ranking
… *The work was performed while Jiang Wang and Bo Chen … We postulate that image
classification models may not fit … The filters learned in this paper captures more color information …
classification models may not fit … The filters learned in this paper captures more color information …
Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
… to those that compete in image classification tasks, with a … performed a user study asking
the question “Does this image … both images to have some semantic level of similarity between …
the question “Does this image … both images to have some semantic level of similarity between …