Dr. Suresh Kumar Lodha Profile

Dr. Suresh Kumar Lodha

Associate Professor at Univ of California Santa Cruz

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Author

Publications (13)

Proceedings Article | 29 January 2007 Paper

Aerial lidar data classification using expectation-maximization

Suresh Lodha, Darren Fitzpatrick, David Helmbold

Proceedings Volume 6499, 64990L (2007) https://doi.org/10.1117/12.714713

KEYWORDS: LIDAR, Expectation maximization algorithms, Data modeling, Buildings, Roads, Visualization, Airborne remote sensing, Vegetation, Image classification, Computer science

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Proceedings Article | 18 January 2006 Paper

GSIFT: geometric scale invariant feature transform for terrain data

Suresh Lodha, Yongqin Xiao

Proceedings Volume 6066, 60660L (2006) https://doi.org/10.1117/12.650890

KEYWORDS: Vision geometry, Electronic imaging, Machine vision, Computer vision technology, Image registration

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Proceedings Article | 9 June 2003 Paper

Audio-visual situational awareness for general aviation pilots

Lilly Spirkovska, Suresh Lodha

Proceedings Volume 5009, (2003) https://doi.org/10.1117/12.473908

KEYWORDS: Situational awareness sensors, Visualization, Human-machine interfaces, Visual analytics, Data analysis, Electronic imaging, Information visualization

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Proceedings Article | 30 July 2002 Paper

Visualization of spatio temporal GPS uncertainty within a GIS environment

Suresh Lodha, Amin Charaniya, Nikolai Faaland, Srikumar Ramalingam

Proceedings Volume 4744, (2002) https://doi.org/10.1117/12.488302

KEYWORDS: Global Positioning System, Satellites, Receivers, Visualization, Geographic information systems, Signal to noise ratio, Airborne remote sensing, Sensors, Error analysis, Calibration

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Proceedings Article | 3 May 2001 Paper

Use of natural sounds and metaphors for data perceptualization

Suresh Lodha, Ellen Venable, David Marsh, Doanna Meads, Nguyet Manh, Casey Robinson, Krishna Roskin

Proceedings Volume 4302, (2001) https://doi.org/10.1117/12.424927

KEYWORDS: Proteins, Visualization, Associative arrays, Information visualization, Video, Visual analytics, Chemical analysis, Computing systems, Virtual reality, Computer science

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Proceedings Article | 28 February 2000 Paper

WebVis: a hierarchical web homepage visualizer

Jose Renteria, Suresh Lodha

Proceedings Volume 3960, (2000) https://doi.org/10.1117/12.378918

KEYWORDS: Visualization, Information visualization, Java, Human-machine interfaces, Internet, Visual analytics, Multimedia, Feature extraction, Computer science, Chemical elements

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Proceedings Article | 14 May 1998 Paper

Viewing angle uncertainty in volumetric visualization

Abigail Joseph, Suresh Lodha, Tao Starbow

Proceedings Volume 3298, (1998) https://doi.org/10.1117/12.309532

KEYWORDS: Visualization, Opacity, Volume rendering, Optical spheres, Ray tracing, Digital video recorders, RGB color model, Human-machine interfaces, Scientific visualization, Visual compression

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Proceedings Article | 9 April 1997 Paper

MUSURF: visualizing geometric uncertainty of multiple surface interpolants

Hiroya Chiba, Suresh Lodha

Proceedings Volume 3017, (1997) https://doi.org/10.1117/12.270303

KEYWORDS: Visualization, Transparency, Data modeling, Volume rendering, Scientific visualization, Data acquisition, Error analysis, Meteorology, Software development, Solid modeling

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Proceedings Article | 8 March 1996 Paper

Visual data exploration using Legendre wavelets

Masami Ueda, Suresh Lodha

Proceedings Volume 2656, (1996) https://doi.org/10.1117/12.234690

KEYWORDS: Wavelets, Data modeling, Image compression, 3D modeling, Visualization, Image quality, Chromium, Error analysis, Volume rendering, Data compression

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Hierarchical decomposition of data using Haar and Legendre scaling functions as well as multiresolution compression and decomposition of data using hyperbolic 3D Haar wavelets, Battle-Lemarie wavelets, and biorthogonal wavelets have been used in the past to visually explore large volumetric data sets. In this work we explore the use of Legendre wavelets for efficient volumetric compression and rendering of data. There are several advantages of using Legendre wavelets. First, by using wavelets rather than scaling functions, we gain the advantages associated with multiresolution decomposition of data. This includes efficient exploration of data at different levels of detail and advantages of incremental rendering of data and progressive transmission. Second, the main advantage of these wavelets over other wavelet models arises from the fact that they do not overlap and therefore require filters of only unit length. In contrast, Battle-Lemarie wavelets require filters of infinite length. Similarly, if B-spline wavelets are used, they will require filters of infinite length as well. Biorthogonal wavelets require filters of finite length; however Legendre wavelets use filters of only unit length. This results in relatively simple and efficient computation. We use coherent projection method and L₂ error criterion to compress and render the volumetric data, although the model is flexible to accommodate other volumetric rendering techniques and other error criteria. The Legendre wavelet model for volumetric data compression and rendering has been implemented. The system has been used for visual data exploration of several large volumetric data sets. Detailed statistical measures of compression ratios, rendering time, and associated errors have been derived for different threshold values of many volumetric data sets. Although for lossless compression Legendre wavelet model requires much more time and space, it clearly outperforms Haar wavelet model in compression and image quality for lossy compression with very small L₂ errors. This characteristic is very helpful in visual exploration of data.

Proceedings Article | 7 April 1995 Paper

Glyphs for visualizing uncertainty in environmental vector fields

Craig Wittenbrink, Elijah Saxon, Jeff Furman, Alex Pang, Suresh Lodha

Proceedings Volume 2410, (1995) https://doi.org/10.1117/12.205940

KEYWORDS: Visualization, Meteorology, Wind measurement, Radar, Data modeling, Doppler effect, Atmospheric modeling, Instrument modeling

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Proceedings Article | 1 November 1992 Paper

Degree reduction of Bezier simplexes

Suresh Lodha, Joe Warren

Proceedings Volume 1830, (1992) https://doi.org/10.1117/12.131731

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Proceedings Article | 1 February 1992 Paper

Bezier representation for cubic surface patches

Suresh Lodha, Joe Warren

Proceedings Volume 1610, (1992) https://doi.org/10.1117/12.135145

KEYWORDS: Visualization, Computer graphics, Machine vision, Computer vision technology, Evolutionary algorithms, Image segmentation, Computing systems, Computer science, Optical spheres, Process modeling

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Proceedings Article | 1 August 1990 Paper

Free-form quadric surface patches

Joe Warren, Suresh Lodha

Proceedings Volume 1251, (1990) https://doi.org/10.1117/12.19728

KEYWORDS: Image segmentation, Computer graphics, Machine vision, Computer vision technology, Visualization, Optical spheres, Computer science, Process modeling, Visual process modeling, Control systems

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Showing 5 of 13 publications

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