Kavli Affiliate: Cheng Peng
| First 5 Authors: Neil Joshi, Joshua Carney, Nathanael Kuo, Homer Li, Cheng Peng
| Summary:
Production of photorealistic, navigable 3D site models requires a large
volume of carefully collected images that are often unavailable to first
responders for disaster relief or law enforcement. Real-world challenges
include limited numbers of images, heterogeneous unposed cameras, inconsistent
lighting, and extreme viewpoint differences for images collected from varying
altitudes. To promote research aimed at addressing these challenges, we have
developed the first public benchmark dataset for 3D reconstruction and novel
view synthesis based on multiple calibrated ground-level, security-level, and
airborne cameras. We present datasets that pose real-world challenges,
independently evaluate calibration of unposed cameras and quality of novel
rendered views, demonstrate baseline performance using recent state-of-practice
methods, and identify challenges for further research.
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