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Classification of Illumination Methods for Mixed Reality [article]

Katrien Jacobs, Céline Loscos
2004 Eurographics State of the Art Reports  
This led us to define four categories of methods that vary depending on the type of geometric model used for representing the real scene, and the different radiance information available for each point  ...  In this paper, we propose a classification of illumination methods for MR applications that aim at generating a merged environment in which illumination and shadows are consistent.  ...  Acknowledgements We would like to thank Simon Gibson, Greg Ward, Anthony Steed, Mel Slater, Erik De Witte, Hila Ritter Widerfield and Bernhard Spanlang for reviewing this paper.  ... 
doi:10.2312/egst.20041027 fatcat:lt7rdchbvvbrhlpquwuattbj6y

Classification of Illumination Methods for Mixed Reality

Katrien Jacobs, Celine Loscos
2006 Computer graphics forum (Print)  
This led us to define four categories of methods that vary depending on the type of geometric model used for representing the real scene, and the sdifferent radiance information available for each point  ...  This paper proposes a classification of illumination methods for MR applications that aim at generating a merged environment in which illumination and shadows are consistent.  ...  Acknowledgments We would like to thank Simon Gibson, Greg Ward, Anthony Steed, Mel Slater, Erik De Witte, Hila Ritter Widerfield and Bernhard Spanlang for reviewing this paper.  ... 
doi:10.1111/j.1467-8659.2006.00816.x fatcat:mcc4xiwf2jdeblcgn4t36kjbhe

Robust multi-algorithm object recognition using Machine Learning methods

Tobias Fromm, Benjamin Staehle, Wolfgang Ertel
2012 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)  
Robust object recognition is a crucial requirement for many robotic applications. We propose a method towards increasing reliability and flexibility of object recognition for robotics.  ...  This is achieved by the fusion of diverse recognition frameworks and algorithms on score level which use characteristics like shape, texture and color of the objects.  ...  This work was conducted within the Collaborative Center for Applied Research on Service Robotics (ZAFH Servicerobotik) and supported by research grants of the state of Baden-Württemberg and the European  ... 
doi:10.1109/mfi.2012.6343014 dblp:conf/mfi/FrommSE12 fatcat:hpckir7ikvf4jmhwj7o575ayyi

Automatic individual identification of Saimaa ringed seals

Tina Chehrsimin, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen
2018 IET Computer Vision  
This can be used as a basis for the identification process.  ...  The authors propose a framework that starts with segmentation of the seal from the background and proceeds to various postprocessing steps to make the pelage pattern more visible and the identification  ...  The LPQ descriptor uses locally computed phase information and decorrelated low-frequency coefficients to create a code word histogram that can be used for the texture classification.  ... 
doi:10.1049/iet-cvi.2017.0082 fatcat:4quyep2rzneldma6rplbmljkby

Swarm optimization based texture classification in extreme scale variations

K. Santhosh Kumar
2022 International Journal of Health Sciences  
There has been much progress, but the impact of illumination changes on automated texture classification and segmentation has gained very less focus.  ...  Research work carried out in the field of texture identification frequently focuses on the identification of textures with intraclass changes including illumination, rotation, viewpoint and small scale  ...  Conclusion and Future Work Identifying the textures with intra-class variations such as illumination, rotation, viewpoint and small scale changes, were the main focus of the research in texture recognition  ... 
doi:10.53730/ijhs.v6ns2.6079 fatcat:zh5fiy3ghrhm7i5zcd2izfyoga

Survey on computer aided decision support for diagnosis of celiac disease

Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei
2015 Computers in Biology and Medicine  
The gold standard for diagnosis of CD is currently based on a histological confirmation of serology, using biopsies performed during upper endoscopy.  ...  Computer aided decision support is an emerging option in medicine and endoscopy in particular.  ...  Consequently, scale-and viewpoint-invariant methods have been employed [60] for the classification of CD.  ... 
doi:10.1016/j.compbiomed.2015.02.007 pmid:25770906 pmcid:PMC4593300 fatcat:wxhi536np5exheqmzgodfctgsi

A Novel Classification Approach Capable Indoor Scene Picture Identification with Hybrid Feature Selection Algorithm

GaganDeep Singh, Sonika Jindal
2018 International Journal of Computer Applications  
The planned model improvement has been recorded above ten percent for all of the evaluated parameters against the prevailing models based mostly upon SURF, FREAK, etc.  ...  color illuminations. many experiments has been conducted over the projected model for the performance analysis of the indoor scene recognition system within the planned model.  ...  As correct classification of a picture, is good because it helps in higher organization and browsing of the image information.  ... 
doi:10.5120/ijca2018917055 fatcat:kzjif4w22jbndh7u2iqamhdqfa

Machine Learning Approach for Object Recognition

V. N. Pawar, S. N. Talbar
2012 International Journal of Modeling and Optimization  
Object recognition is basically invariant to the dramatic changes caused in objects' appearance such as location, size, viewpoint, illumination, occlusion and more by the variability in viewing conditions  ...  The experiments clearly demonstrate that our proposed approach significantly outperforms the state-of-the-art methods for combining color, shape and texture features.  ...  The ALOI collection consists of 1000 objects recorded under various imaging circumstances. For each object the viewing angle, illumination angle, and illumination color are varied.  ... 
doi:10.7763/ijmo.2012.v2.196 fatcat:oejyfcpw75gvledqjezqwjvxfq

Window Detection in Facades

Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, Gerhard Paar
2007 14th International Conference on Image Analysis and Processing (ICIAP 2007)  
This work is about a novel methodology for window detection in urban environments and its multiple use in vision system applications.  ...  The classifier is learned from a Gentle Adaboost driven cascaded decision tree [1] on masked information from training imagery and is tested towards window based ground truth information which is -together  ...  These images were taken from other viewpoints and under other illumination conditions than the images used for training the classifier, and all downsampled to a resolution of 320x240.  ... 
doi:10.1109/iciap.2007.4362880 dblp:conf/iciap/AliSJPP07 fatcat:jz6lzhlzrrcrneniytxczdjtbi

Effect of illumination on automatic expression recognition: A novel 3D relightable facial database

Giota Stratou, Abhijeet Ghosh, Paul Debevec, Louis-Philippe Morency
2011 Face and Gesture 2011  
The database contains 3D models for 23 subjects and 15 expressions, as well as photometric information that allow for photorealistic rendering.  ...  We propose a ratio-based light transfer method, to factor out unwanted illuminations from given images and show that it reduces the effect of illumination on expression recognition.  ...  Cyrus Wilson and Jay Busch for help with processing of the acquired data.  ... 
doi:10.1109/fg.2011.5771467 dblp:conf/fgr/StratouGDM11 fatcat:3cioyvn67ne2rn7weeicew7te4

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen
2018 International Journal of Computer Vision  
In retrospect of what has been achieved so far, the survey discusses open challenges and directions for future research.  ...  Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted  ...  The authors would also like to express their sincere appreciation to the associate editor and the reviewers for their comments and suggestions. This  ... 
doi:10.1007/s11263-018-1125-z fatcat:ienaow2ztvdgdamp25qtul6odm

Exploring the effect of illumination on automatic expression recognition using the ICT-3DRFE database

Giota Stratou, Abhijeet Ghosh, Paul Debevec, Louis-Philippe Morency
2012 Image and Vision Computing  
The database contains 3D models for 23 subjects and 15 expressions, as well as photometric information that allow for photorealistic rendering.  ...  We propose a ratio-based light transfer method, to factor out unwanted illuminations from given images and show that it reduces the effect of illumination on expression recognition.  ...  code used in this paper for sparse correspondence during image alignment, Cyrus Wilson and Jay Busch for help with processing of the acquired data.  ... 
doi:10.1016/j.imavis.2012.02.001 fatcat:a5bmvlkprne6lmh6tnrmrizm3q

Enhancing Depth Perception in Translucent Volumes

Marta Kersten, James Stewart, Niko Troje, Randy Ellis
2006 IEEE Transactions on Visualization and Computer Graphics  
Surgeons make use of DRRs in planning and performing operations, so an improvement of depth perception in DRRs may help diagnosis and surgical planning.  ...  A purely absorptive lighting model is used, for example, when rendering digitally reconstructed radiographs (DRRs), which are synthetic X-ray images reconstructed from CT volumes.  ...  Subjects were evaluated on correctness and decision response time.  ... 
doi:10.1109/tvcg.2006.139 pmid:17080842 fatcat:fdb6txjco5cxhb54hbhk2ule5i

Real-time classification of vehicles by type within infrared imagery

Mikolaj E. Kundegorski, Samet Akçay, Grégoire Payen de La Garanderie, Toby P. Breckon, Douglas Burgess, Gari Owen, Henri Bouma, Felicity Carlysle-Davies, Robert J. Stokes, Yitzhak Yitzhaky
2016 Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII  
This work forms part of the wider SAPIENT (Sensing for Asset Protection using Integrated Electronic Networked Technology) programme in collaboration with Defence Science and Technology Laboratory (DSTL  ...  Acknowledgments: This work was supported by the Defence Science and Technology Laboratory (UK MOD) and the Innovate UK.  ...  Within this context, the consistency of vehicle appearance (shape outline, colour, texture) albeit under varying illumination conditions is a contrasting challenge to the thermal variations within our  ... 
doi:10.1117/12.2241106 fatcat:y5jqdfp4vjggpogkaszkvvgida

Comparison of support vector machine-based processing chains for hyperspectral image classification

Marta Rojas, Inmaculada Dópido, Antonio Plaza, Paolo Gamba, Bormin Huang, Antonio J. Plaza, Joan Serra-Sagristà, Chulhee Lee, Yunsong Li, Shen-En Qian
2010 Satellite Data Compression, Communications, and Processing VI  
activities such as data calibration and geo-correction aspects, while the second part of the chain comprises information extraction processes from the collected data.  ...  In this paper, we evaluate the performance of different processing chains resulting from combinations of modules for dimensionality reduction, feature extraction/selection, image classification, and spatial  ...  and geo-corrected, an information extraction process from collected data is needed for the second part of the chain.  ... 
doi:10.1117/12.860413 fatcat:6g4ncfg3fbe3xnfo753zx273km
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