Now a day's mobile devices have made many pervasive computing dreams which come true. Still s... more Now a day's mobile devices have made many pervasive computing dreams which come true. Still such mobile applications do not perform well due to the shortage of resources for computation data storage, network bandwidth, and battery backup. Along with the rapid growth of various cloud services and network technologies and increasing number of mobile devices use cloud storage services to enlarge their capacity and share data in our daily lives. We generally use cloud service client-side software in a serial fashion. With worldwide shipments of smartphones around 500 million exceeding PCs 400 million including tablets in 2011, and in the US alone, more users predicted to access the Internet from mobile devices than from PCs clearly there is a desire to be able to use mobile devices and networks like we use PCs and wire line networks today. After span of few years mobile phones may replace the Laptops & PC. However in spite of advantages in the capabilities of mobile devices a gap wi...
Recently mobile devices, such as smartphones and tablets have made many pervasive computing dream... more Recently mobile devices, such as smartphones and tablets have made many pervasive computing dreams which come true. Still such mobile applications do not perform well due to the shortage of resources for computation data storage, network bandwidth, and battery backup. Along with the rapid growth of various cloud services and network technologies and increasing number of mobile devices use cloud storage services to enlarge their capacity and share data in our daily lives. We generally use cloud service client-side software in a serial fashion. However when much devices and users participate in various services, the difficulty of managing these services efficiently and conveniently increases. With worldwide shipments of smartphones 487.7million exceeding PCs 414.6million including tablets in 2011, and in the US alone, more users predicted to access the Internet from mobile devices than from PCs clearly there is a desire to be able to use mobile devices and networks like we use PCs and...
Large area cityGML visualization currently deals with its conversion to another model such as VRM... more Large area cityGML visualization currently deals with its conversion to another model such as VRML, X3D or KML data format which can be visualized using various visualization tools like Google Earth, VTP, Cesium, NASAs World Wind, etc. But these conversion to VRML or X3D, leads to a loss of the geographical information, geometries, which restricts the aspect of geospatial analysis, in addition to adding an extra preprocessing step. One of the tool that supports 3D visualization of cityGML data is Aristoteles developed by the Institute for Cartography and Geoinformation. But it lacks features like move around camera controls, projecting the coordinates from the cityGML CRS, and underneath terrain rendering. On the other hand virtual globes like NASAs world wind or cesium globe, are powerful enough to harness the power of the systems GPU to render large amount of geometries and DEM data to generate terrains, give scene controls, etc, but doesn't give support for visualization of c...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
We have addressed the problem of visualization of vector building data on top of a terrain. It tr... more We have addressed the problem of visualization of vector building data on top of a terrain. It tries to make it more realistic by automated draping of building textures from geo-tagged images which are captured from a cell phone camera with a built-in GPS. We use the properties of the images to tag them to the corresponding 2D polygon footprint by using the camera pose, and the cameras position to automate our process. The elevation data captured from NASAs SRTM project, GTOPO, etc can be used to render 3D terrains using existing GPU based Level of detail (LOD) algorithms[1] [2] [3]. The vector data of buildings along with their height attributes can be obtained from various Lidar based algorithms or from DEM data[4] [5]. A scene graph is used as the data structure which is used to render these vector based graphics models, supported by osgEarth [6].
Now a day's mobile devices have made many pervasive computing dreams which come true. Still s... more Now a day's mobile devices have made many pervasive computing dreams which come true. Still such mobile applications do not perform well due to the shortage of resources for computation data storage, network bandwidth, and battery backup. Along with the rapid growth of various cloud services and network technologies and increasing number of mobile devices use cloud storage services to enlarge their capacity and share data in our daily lives. We generally use cloud service client-side software in a serial fashion. With worldwide shipments of smartphones around 500 million exceeding PCs 400 million including tablets in 2011, and in the US alone, more users predicted to access the Internet from mobile devices than from PCs clearly there is a desire to be able to use mobile devices and networks like we use PCs and wire line networks today. After span of few years mobile phones may replace the Laptops & PC. However in spite of advantages in the capabilities of mobile devices a gap wi...
Recently mobile devices, such as smartphones and tablets have made many pervasive computing dream... more Recently mobile devices, such as smartphones and tablets have made many pervasive computing dreams which come true. Still such mobile applications do not perform well due to the shortage of resources for computation data storage, network bandwidth, and battery backup. Along with the rapid growth of various cloud services and network technologies and increasing number of mobile devices use cloud storage services to enlarge their capacity and share data in our daily lives. We generally use cloud service client-side software in a serial fashion. However when much devices and users participate in various services, the difficulty of managing these services efficiently and conveniently increases. With worldwide shipments of smartphones 487.7million exceeding PCs 414.6million including tablets in 2011, and in the US alone, more users predicted to access the Internet from mobile devices than from PCs clearly there is a desire to be able to use mobile devices and networks like we use PCs and...
Large area cityGML visualization currently deals with its conversion to another model such as VRM... more Large area cityGML visualization currently deals with its conversion to another model such as VRML, X3D or KML data format which can be visualized using various visualization tools like Google Earth, VTP, Cesium, NASAs World Wind, etc. But these conversion to VRML or X3D, leads to a loss of the geographical information, geometries, which restricts the aspect of geospatial analysis, in addition to adding an extra preprocessing step. One of the tool that supports 3D visualization of cityGML data is Aristoteles developed by the Institute for Cartography and Geoinformation. But it lacks features like move around camera controls, projecting the coordinates from the cityGML CRS, and underneath terrain rendering. On the other hand virtual globes like NASAs world wind or cesium globe, are powerful enough to harness the power of the systems GPU to render large amount of geometries and DEM data to generate terrains, give scene controls, etc, but doesn't give support for visualization of c...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
We have addressed the problem of visualization of vector building data on top of a terrain. It tr... more We have addressed the problem of visualization of vector building data on top of a terrain. It tries to make it more realistic by automated draping of building textures from geo-tagged images which are captured from a cell phone camera with a built-in GPS. We use the properties of the images to tag them to the corresponding 2D polygon footprint by using the camera pose, and the cameras position to automate our process. The elevation data captured from NASAs SRTM project, GTOPO, etc can be used to render 3D terrains using existing GPU based Level of detail (LOD) algorithms[1] [2] [3]. The vector data of buildings along with their height attributes can be obtained from various Lidar based algorithms or from DEM data[4] [5]. A scene graph is used as the data structure which is used to render these vector based graphics models, supported by osgEarth [6].
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Papers by Vishal Tiwari