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Face Recognition Using Map Discriminant on YCbCr Color Space [article]

I Gede Pasek Suta Wijaya
2018 arXiv   pre-print
From the experimental results on data from four face databases containing 2268 images with 196 classes show that the face recognition YCbCr color space provide better recognition rate and lesser EER than  ...  This paper presents face recognition using maximum a posteriori (MAP) discriminant on YCbCr color space.  ...  Moreover, the chrominance components of skin-tone color are nonlinearly dependent on the luminance [6] .  ... 
arXiv:1807.02135v1 fatcat:4nwk5ycbwjbxhfrkefeuzgoni4

3D Face Reconstruction from Single Two-Tone and Color Images [chapter]

Ira Kemelmacher-Shlizerman, Ronen Basri, Boaz Nadler
2013 Shape Perception in Human and Computer Vision  
In addition, our reconstruction results for the two-tone images are similar to those obtained for the color images.  ...  Reconstruction from Single Two-Tone and Color Images  ... 
doi:10.1007/978-1-4471-5195-1_19 fatcat:aaz2b2wudne6feyqvzaz7gtpcq

Device characterization [chapter]

Raja Balasubramanian
2002 Digital Color Imaging Handbook  
Acknowledgment The author wishes to thank Dean Harrington for his assistance in preparing the figures for this chapter.  ...  This linearization can be implemented with a set of one-dimensional tone reproduction curves (TRCs) for each of the R, G, B signals.  ...  PCA yields a compact encoding for spectral data and can serve as the device-independent color space in a multispectral imaging framework.  ... 
doi:10.1201/9781420041484.ch5 fatcat:hplhxdyqx5hoholhjju5hc56dm

Supervised framework for top-down color interest point detection

Yogeshwar Singh Dadwhal, Satish Kumar, Harish Kumar Sardana
2020 SN Applied Sciences  
The technique is inspired by the human visual perception to gain cognizance of regions based on selective boosting of colors.  ...  The system is evaluated on the MSRA dataset commonly used for saliency detection. The experiments are based on finding distinct regions having an affinity towards skin color.  ...  band of skin color tones for training the model.  ... 
doi:10.1007/s42452-020-3189-y fatcat:lmojqkkl7vbr5ecf7xiddtwbhu

Introductory Materials

2018 Final program and proceedings (Color and Imaging Conference)  
However, photo-realism is still a challenge even on desktop environments, and ARlVR are raising the bar for efficient, realistic, and cost-effective material modelling.  ...  The capability of creating photo-realistic, rendered objects within a real-world setting will support sale, promotion, accurate visualization, planning, and marketing purposes more and more in the coming  ...  We analyzed the ratio that participants selected the preferred one between two types of tone-curves.  ... 
doi:10.2352/issn.2169-2629.2018.26.0.a fatcat:k5vuxlpvkjfz3olsu6h6d55vza

Color Constancy based on Image Similarity via Bilayer Sparse Coding [article]

Bing Li, Weihua Xiong, Weiming Hu
2012 arXiv   pre-print
Recently, lots of research has shown the effects of high level visual content information for illumination estimation.  ...  The experimental results on two real-world image sets show that our algorithm is superior to other prevailing illumination estimation methods, even better than combinational methods.  ...  Table 1 . 1 Pseudo-code for bilayer sparse coding optimization. Table 2 . 2 Comparison of performance of all competing methods on the Gehler-Shi image set.  ... 
arXiv:1207.3142v2 fatcat:755zw6x34jafdb3gsmawzzux4q

A complete system for garment segmentation and color classification

Marco Manfredi, Costantino Grana, Simone Calderara, Rita Cucchiara
2013 Machine Vision and Applications  
, learned on the given color classes, is introduced and combined with HOG features for garment classification.  ...  For color similarity retrieval and classification, in order to adapt the color description to the users' perception and the company marketing directives, a color histogram with an optimized binning strategy  ...  This is different from extracting a set of colors based on the data only (for example by clustering in the color space), but is a task of feature selection by incorporating data classification information  ... 
doi:10.1007/s00138-013-0580-3 fatcat:yc4zvuhb5jdh5kk3dudsswdzea

Integrating Color Features in Polarimetric SAR Image Classification

Stefan Uhlmann, Serkan Kiranyaz
2014 IEEE Transactions on Geoscience and Remote Sensing  
It is a common practice to visualize PolSAR data by color coding methods and thus, it is possible to extract powerful color features from such pseudocolor images so as to provide additional data for a  ...  However, one source of information has so far been neglected from PolSAR classification: Color.  ...  The authors would also like to thank NASA/JPL for making the POLSAR data publicly available. RADARSAT is an official mark of the Canadian Space Agency.  ... 
doi:10.1109/tgrs.2013.2258675 fatcat:s4imvqz4ojcjtcx7vfdqhfbgky

Fish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation Classifier

2011 Journal of Computer Science  
Where depend on color signatures that are extracted by RGB color space, color histogram and gray level co-occurrence matrix. Results: We presented a system prototype for dealing with such problem.  ...  These images are divided into two datasets: 400 training images and 210 testing images. An overall accuracy was obtained using back-propagation classifier was 84% on the test dataset used.  ...  Data acquired on 22th August, 2008, are used.  ... 
doi:10.3844/jcssp.2011.52.58 fatcat:neyfpf3yfrfelakfaixuc25orq

Color correction pipeline optimization for digital cameras

Simone Bianco, Arcangelo R. Bruna, Filippo Naccari, Raimondo Schettini
2013 Journal of Electronic Imaging (JEI)  
There are mainly two modules responsible for the color-rendering accuracy of a digital camera: the former is the illuminant estimation and correction module, and the latter is the color matrix transformation  ...  These two modules together form what may be called the color correction pipeline.  ...  The two color correction matrices computed for the two identified illuminants are retrieved and combined accordingly to the illuminant similarity.  ... 
doi:10.1117/1.jei.22.2.023014 fatcat:ncgkj2cox5brtpdo6ntmflhwkq

Optimal Color Quantization for Real-Time Object Recognition

J. Orwell, P.M. Remagnino, G.A. Jones
2001 Real-time imaging  
Comparative results on real data are presented for single and multi-camera re-identification, using algorithms which may be executed in real time.  ...  While many modalities will in general contribute to this task, this paper focuses on the use of object color properties.  ...  In this work, two stages are used for this process. First, a connected components labelling is performed on the foreground data, to divide it into regions R i .  ... 
doi:10.1006/rtim.2000.0209 fatcat:zpbev3oa3fd2bo3qmtoqyddpyi

Image Retrieval Scheme using Quantized Bins of Color Image Components and Adaptive Tetrolet Transform

Naushad Varish, Arup Kumar Pal, Rosilah Hassan, Mohammad Kamrul Hasan, Asif Khan, Nikhat Parveen, Debrup Banerjee, Vidyullatha Pellakuri, Amin Ul Haq, Imran Memon
2020 IEEE Access  
At this stage, fused color information is captured by applying the color autocorrelogram on both the non-uniform quantized color components of the preprocessed HSV color image.  ...  In this paper, a three stage hierarchical image retrieval scheme using a color, texture and shape visual contents (or descriptors) is proposed, since single visual content is not produce an adequate retrieval  ...  The authors confirm that the data supporting the findings of this study are available within the article.  ... 
doi:10.1109/access.2020.3003911 fatcat:cjigbz6x2jdrhcoxxlkmb3y4ni

Across‐frequency processes involved in auditory detection of coloration

Jörg M. Buchholz, Paris Kerketsos
2008 Journal of the Acoustical Society of America  
BEM methods are well established for this purpose after a systematic comparison between simulations and experimental data.  ...  for presentation of poster papers on various topics in acoustics.  ...  A two-dimensional ANC system -from simulation to application.  ... 
doi:10.1121/1.2935741 fatcat:acaporn5qvgb5coauovqkbv6lq

Procedural Volume Modeling, Rendering, and Visualization [chapter]

David Ebert, Penny Rheingans
2003 Data Visualization  
This material is based on work supported by the National Science Foundation under Grants No. 0081581, 9996043, and 9978032. 7.  ...  Elliott Fishman of Johns Hopkins Medical Institutions for the abdominal CT dataset. The iron protein dataset came from the vtk website (  ...  Visualization from functional descriptions Two basic approaches for are available for the visualization of functionally represented data: voxelize, then visualize, and visualize directly from the functional  ... 
doi:10.1007/978-1-4615-1177-9_22 fatcat:o7c5jfh4pnf6hb7ihaacxcwcom

Visual and analytical extensions for the table lens

Mathias John, Christian Tominski, Heidrun Schumann, Katy Börner, Matti T. Gröhn, Jinah Park, Jonathan C. Roberts
2008 Visualization and Data Analysis 2008  
In this work, we present two extensions of the original Table Lens approach. In particular, we extend the Table Lens by Two-Tone Pseudo Coloring (TTPC) and a hybrid clustering.  ...  Many visualization approaches teach us that ease of use is the key to effective visual data analysis.  ...  Takafumi Saito from Tokyo University of Agriculture and Technology for providing the original version of Figure 1 .  ... 
doi:10.1117/12.766440 dblp:conf/vda/JohnTS08 fatcat:cwfkrxy5qbf4jnmxjlzelvjhti
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