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Research Activities at CVIT, IIIT-H

Graphics and GPU. GPU Computing & 3D Reconstruction. Indian Digital Heritage. Biometric and Security. Medical Image Analysis. Research Activities at CVIT, IIIT-H. Medical images are widely used for diagnostic purposes.

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Research Activities at CVIT, IIIT-H

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  1. Graphics and GPU GPU Computing & 3D Reconstruction Indian Digital Heritage Biometric and Security Medical Image Analysis Research Activities at CVIT, IIIT-H Medical images are widely used for diagnostic purposes. Our goal: Development of algorithms for enhancement, registration and segmentation for medical image analysis. • Cascaded Filtering for Biometric Identification using Random Projections • Fingerprint Indexing Based on Local Combinations of Minutiae Neighborhoods • Hybrid Approach to Fingerprint Enhancement • Security in vision algorithms • Surveillance as a Service • Efficient Privacy Preserving Video Surveillance • Secure Hamming Distance based Biometric Authentication • Detecting repetitive pattern in relief structure • Image completion for Architectural images • Image search specific to heritage monument. • Texture mapping dense architectural 3D models. • Categorizing images based on the architectural style • Real-Time Ray Tracing of Parametric • Triangulated and Implicit Models Geometry Directed Browser for Personal Photos Images we work on • Contributions • CAD algorithms and tools • Screening solutions • Annotation tools • Dataset collections Document Image Analysis Recognition and Retrieval Vision on Mobile Devices Visibility Structure from SfM Datasets • Computational Displays • Computer Vision based Mobile Apps • Query image / video frames from Mobile Phones or Tablets • Interactive annotations in various forms • Usability in diverse scenarios Multi-GPU Massive Model Rendering About CVIT Optical FFA OCT Match in Database Output Annotation • Recognition: • - Object and scene categories • - Efficient images • - Projector Camera Recognition • - Automatic annotation of Images • Retrieval: • - Large Scale Retrieval • - Mining patterns • - Indexing techniques • - Distributed and private methods • Development of robust OCRs for Indian Languages • Restoration and recognition of degraded documents • Recognition free document image retrieval • Scene Text Understanding • Terrain Rendering Taramati Mosque Mixed Resolution Patch-Matching Capture Photo CVIT is a research centre at IIIT Hyderabad. The centre is actively involved in research in broad area of Computer Vision, Image Processing, Computer Graphics, Pattern Recognition and Machine Learning. Hybrid Floyd-Steinberg Dithering • Video Object Manipulation CT Biopsy DW-MRI PET Mammogram Chest X-Ray BEST MATCH Efficient GPU Graph Algorithms – Graph Cuts, MST, BFS As Text Annotation As Information Hyperlink As Audio Annotation As Video Annotation As Multimedia Information CVIT today has 4 full time faculty members, 4 associated faculty, over 50 research students, in addition to the research staff and undergraduate student • Univ. of Oxford • UMASS, • HUJI • Arvinda Eye Care • KIMS, Hyderabad • Consortium of Indian Universities • LV Prasad Eye Institute • UKIERI • MCIT • DST • NRB • Microsoft Research • NVIDIA • Philips Research • Document Image Analysis: A. Mishra et al. (CVPR’12, BMVC’12, ICDAR’11), P. Krishanan et al. (ICVGIP’12), Ravi Shekhar et al. (DAS’12), Naveen et al. (ICPR’12), J.Banerjee et al. (CVPR’09), P. Sankar et al (CVPR 2007), • Graphics, 3D and GPU: Deshpande et al(ICVGIP’ 12, HiPC’ 11), Choudhary et al(ECCV’ 12) Revanth et al(ICVGIP’ 12), Sureka et al(ECCV’12), Sakurikar et al(WACV’ 12), Nigam et al. (ICVGIP’12), Harish et al. (ICVGIP’12, TVCG’12), Guntury et al. (TVCG’12), Shah et al. (TCSVT’13), Singh et al(TVCG’10) • Medical Image Analysis: Ujjwal et.al (ISBI,2013), Bontala et al (ISBI 2012),Joshi et al (TBME 2012, TMI 2012, ICIAR 2012),Deepak et al (TMI 2012, PR 2012, ICVGIP 2012), R Gautam et al (ICPR 2012, ICVGIP 2012 ),S Mujumdar et al (ICPR 2012),S Koushik et al (BIOSIGNALS’11). • Biometric and Security: Atif et al (CVPRW 2012), Akhil et al (CVPRW 2012), Upmanyu et al(TIFS 2010) • Robotic Vision: A Kundu et al. (ICCV 2011), S.Achar et al (ICRA 2011), A. Kundu et al (ICVGIP 2010), Hafiz et al (ICRA 2008), Chetan et al (IROS 2010), Santosh et al. (ICRA 2008) • Recognition and Retrieval: O Parkhi et. al. (ICCV 2011), Avinash et al. (ECCV 2008), J.Shashank et al (CVPR 2008), P. Sankar et al (CVPR 2007), Chandrika et al (CIVR 2010), S. Vampati et al (BMVC 2010), • Indian Digital Heritage: D. Gupta et al. (ICVGIP 2012), Harshit et al (ICVGIP, 2012), Vikram et al (ICVGIP 2012), Abhinav et al(ICVGIP, 2012), Yashaswi et al(ICVGIP 2012). • International Institute of Information Technology, Hyderabad

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