Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sakina Zabuawala"'
Publikováno v:
International Journal of Imaging Systems and Technology. 16:130-145
Quantitative evaluation of similarity between feature densities of images is an important step in several computer vision and data-mining applications such as registration of two or more images and retrieval and clustering of images. Previously we ha
Autor:
Hector J. Gonzalez, Hai Wei, Joseph Yadegar, Lei Zhang, Sakina Zabuawala, Julio de la Cruz, Jiejie Zhu
Publikováno v:
ISM
This paper presents a novel adaptive pattern-driven approach for compressing large-area high-resolution terrain data. Utilizing a pattern-driven model, the proposed approach achieves efficient terrain data reduction by modeling and encoding disparate
Publikováno v:
DCC
This paper presents a novel pattern-driven image compression technique for exploring the synergy between content-based analysis and compression. Within the pattern-driven paradigm, image data are considered as relational and classifiable entities, wh
Autor:
Sakina Zabuawala, John F. McCalmont, Hai Wei, James Utt, Karthik Mahesh Varadarajan, David Gray, Jacob Yadegar, Joseph Yadegar
Publikováno v:
Visual Information Processing
The effectiveness of autonomous munitions systems can be enhanced by transmitting target images to a man-in-the-loop (MITL) as the system deploys. Based on the transmitted images, the MITL could change target priorities or conduct damage assessment i
Publikováno v:
SPIE Proceedings.
Building footprint extraction from GIS imagery/data has been shown to be extremely useful in various urban planning and modeling applications. Unfortunately, existing methods for creating these footprints are often highly manual and rely largely on a
Publikováno v:
ISM
This paper presents our research and development effort towards a real-time 3-D situational awareness visualization for emergency response (3D-SAVER) in urban environments. For achieving the 3D-SAVER, key enabling technological components (including
Publikováno v:
2008 9th International Conference on Signal Processing.
This paper presents a novel multi-filtering framework for achieving Scalable PAttern-driven Region-adaptive Compression (SPARC) of imagery. Based on a pattern-driven image perception, SPARC achieves efficient compression by modeling and encoding diff
Autor:
Paul L. Carson, Gerald L. LeCarpentier, Sumedha P. Sinha, Ganesh Narayanasamy, J.B. Fowlkes, Sakina Zabuawala, Marilyn A. Roubidoux
Publikováno v:
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
The purpose of this study is to evaluate the accuracy of image volume based registration (IVBaR) of 3D ultrasound (US) image volumes of the whole breast acquired at different times. Successful IVBaR could aid in detection of tumor changes in response