Google Tech Talks
October 25, 2006
Avideh Zakhor, Prof. UC Berkeley
ABSTRACT
In this talk, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for birds-eye view. The goal is photorealistic rendering for walk throughs, drive through and fly throughs. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads in a continuous, rather than a stop-and-go fashion, resulting in extremeley fast data acquisition times; a far-range Digital Surface Model (DSM), containing complementary roof and terrain shape, is created from airborne laser scans, then triangulated, and finally texture-mapped with aerial imagery. The facade models are first registered with respect to the DSM using Monte-Carlo-Localization, and then merged with the DSM by removing redundant parts and filling gaps. The continuous mode scanning, combined with a no human in the loop approach, has enabled us to generated detailed models of downtown Berkeley facades with 25 minutes of driving under normal traffic conditions and 4 hours of automated processing on a single CPU personal computer. We will show the resulting downtown Berkeley models using both commercial vrml viewers, as well as inserted in Google Earth.Google Tech Talks
October 25, 2006
Avideh Zakhor, Prof. UC Berkeley
ABSTRACT
In this talk, we present a fast approach to automated g...all »Google Tech Talks
October 25, 2006
Avideh Zakhor, Prof. UC Berkeley
ABSTRACT
In this talk, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for birds-eye view. The goal is photorealistic rendering for walk throughs, drive through and fly throughs. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads in a continuous, rather than a stop-and-go fashion, resulting in extremeley fast data acquisition times; a far-range Digital Surface Model (DSM), containing complementary roof and terrain shape, is created from airborne laser scans, then triangulated, and finally texture-mapped with aerial imagery. The facade models are first registered with respect to the DSM using Monte-Carlo-Localization, and then merged with the DSM by removing redundant parts and filling gaps. The continuous mode scanning, combined with a no human in the loop approach, has enabled us to generated detailed models of downtown Berkeley facades with 25 minutes of driving under normal traffic conditions and 4 hours of automated processing on a single CPU personal computer. We will show the resulting downtown Berkeley models using both commercial vrml viewers, as well as inserted in Google Earth.«
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