Image Based Modeling and Rendering PI Malik Capture
Image Based Modeling and Rendering (PI: Malik) • Capture photorealistic models of real world scenes that can support interaction – Vary viewpoint – Vary lighting – Vary scene configuration • This objective was achieved by combining and inventing new techniques in computer vision and graphics.
Image-based Modeling and Rendering • 1 st Generation---- vary viewpoint but not lighting – Acquire photographs – Recover geometry (explicit or implicit) – Texture map
Image-based Modeling and Rendering • Photographs are not Reflectance Maps ! Illumination Radiance Reflectance • 2 nd Generation---- vary viewpoint and lighting for non-diffuse scenes – Recover geometry – Recover reflectance properties – Render using light transport simulation
Image-based Modeling • 2 nd Generation---- vary viewpoint and lighting – Recover geometry & reflectance properties – Render using light transport simulation or local shading Original Lighting & Viewpoint Novel Lighting & Viewpoint
Inverse Global Illumination (Yu et al, SIGGRAPH 99) Reflectance Properties Radiance Maps Geometry Light Sources
Real vs. Synthetic
Real vs. Synthetic
• Key contributions in Inverse Illumination A digital. Global camera can undertake all the data acquisition tasks involved. • Both specular and high resolution diffuse reflectance properties can be recovered from photographs. • Reflectance recovery can re-render non-diffuse real scenes under novel illumination as well as from novel viewpoints.
Image-based Modeling and Rendering • 3 rd Generation--Vary spatial configurations in addition to viewpoint and lighting Novel Viewpoint & Configuration
Framework • Input – Multiple range scans of a scene – Multiple photographs of the same scene • Output – Geometric meshes of each object in the scene – Registered texture maps for objects
Segmentation Results [Yu, Ferencz and Malik TVCG ’ 01]
Models of Individual Objects
Texture-Mapping and Object Manipulation
Transitions • Façade has inspired several image-based modeling packages including Canoma from Metacreations. • Technique for registering range and radiance images being used by Cyra, a leading time of flight laser scanner company.
Continuing Challenges • Finding correspondences between widely separated camera views automatically • Models of reflectance and texture for natural materials and objects
- Slides: 15