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Terrain Rendering and Information System
People Involved : Shiben Bhattacharjee, Suryakant Patidar
Digital Terrain Model refer to a data model that attempts to provide a
three dimensional representation of a continuous surface, since
terrains are two and a half dimensional rather than three dimensional. |
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Data Generation Tool kit
People Involved :V Krishna
Synthetic data is very useful for validating the algorithms developed
for various computer vision and image based rendering algorithms.
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Recognition of Indian Language Documents
People Involved : Million Meshesha, Balasubramanian Anand, Sesh Kumar, L. Jagannathan
The
present growth of digitization of documents demands an immediate
solution to enable the archived valuable materials searchable and
usable by users in order to achieve its objective
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Retrieval of Document Images
People Involved : Million Meshesha, Balasubramanian Anand, Pramod Sankar K, Anand Kumar
Our
approach towards retrieval of document images, avoids explicit
recognition of the text. Instead, we perform word matching in the image
space. Given a query word, we generate its corresponding word image,
and compare it against the words in the documents.
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Retrieval from Video Databases
People Involved :Tarun Jain, Anurag Singh Rana, Balakrishna C., Pramod Sankar K., Saurabh Pandey, Balamanohar P., Natraj J.
Digital
Libraries of broadcast videos could be easily built with existing
technology. The storage, archival, search and retrieval of broadcast
videos provide a large number of challenges for the research community.
We address these challenges in different novel directions.
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Robotic Vision
People Involved : Abdul Hafez, Visesh Uday Kumar, Supreeth, Anil, D. Santosh
Our
research activity is primarily concerned with the geometric analysis of
scenes captured by vision sensors and the control of a robot so as to
perform set tasks by utilzing the scene intepretation.
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Content Based Image Retrieval : CBIR
People Involved : Pradhee Tandon, P. Suman Karthik, Natraj J., Dhaval Mehta, E. S. V. N. L. S. Diwakar
We
strive to enable machines with subjective perception capabilities at
par with human their counterparts, especially with regards to images. |
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Contours, Textures, Homography and Fourier Domain
People Involved :Sujit Kuthirummal, Paresh Kumar Jain, M. Pawan Kumar, Saurabh Goyal
The aim of this study is to come up with a Fourier representation of
contours and then utilise it to estimate two view relationships like
homography and also come up with novel invariants.
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Biometrics
People Involved :Vandana Roy, Sachin Gupta
The aim of the work is to develop robust and accurate biometric recognition systems, primarily
for use in civilian applications. We are currently working on enhancing soft biometric traits such
as hand geometry and palm texture, and also on gathering identity information from online handwritten
documents.
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Online Handwriting Analysis
People Involved :Naveen Chandra Tewari, Sachin Gupta
Handwritten
Recognition refers to mapping of meaningful handwritten lexemes to
computer understandable codes. There are many applications in which
entering data using handwriting is more convenient than keyboard like
in making notes or making hand sketches.
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Garuda: A Scalable, Geometry Managed Display Wall
People Involved :Pawan Harish, Nirnimesh
Cluster-based
tiled display walls simultaneously provide high resolution and large
display area (Focus + Context) and are suitable for many applications.
They are also cost-effective and scalable with low incremental costs.
Garuda is a client-server based display wall solution designed to use
off-the-shelf graphics hardware and standard Ethernet network.
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Depth-Image Representations
People Involved : Pooja Verlani, Aditi Goswami, Shekhar Dwivedi, Sireesh Reddy K, Sashi Kumar Penta
Depth
Images are viable representations that can be computed from the real
world using cameras and/or other scanning devices. The depth map
provides a 2 and a half D structure of the scene. The depth map gives a
visibility-limited model of the scene and can be rendered easily using
graphics techniques.
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Learning Appearance Models
People Involved :Karteek Alahari, Paresh Jain, Ranjeeth Kumar, Manikandan
Our
reseach focuses on learning appearance models from images/videos that
can be used for a variety of tasks such as recognition, detection and
classification etc.
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