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Computational Photography -Final Project- Miniature Photography Jia-Bin Huang [email_address]
 
 
Outline Introduction of fake blur Process Overview Depth-of-Field (DOF) Specification Results Discussion
Introduction of Fake Miniature Optical blur Slide credit: Rebert Held
Normal Lens Slide credit: Rebert Held
Tilt-Shift Lens Slide credit: Rebert Held
Process Overview Goal: Simulate the Tilt-Shift Effect (i.e., miniature photography) Process Focus line/region/target selection DOF specification Blur image Color Enhancement (optional)
Depth-of-Field (DOF) Specification We lost depth information from the image. Assumption: objects on the same straight line are at the same depth. Methods to specify DOF Horizontal Focus line Object mask Salient region detection
DOF - Horizontal
DOF - Focus Line
DOF – Object Mask
DOF – Salient Region Detection
More Results
 
 
 
 
 
 
 
 
Discussion Two main open issues Depth estimation from single image Salient region selection Accurate depth information can help create realistic miniature effect Salient region selection can help automate the miniature photography process
References [1] Held et al. " Using Blur to Affect Perceived Distance and Size ".  ACM Transactions on Graphics  2010. [2] Levin et al. " Image and Depth from a Conventional Camera with a Coded Aperture ". SIGGRAPH 2007. [3] Felzenszwalb and Huttenlocher. " Efficient Graph-Based Image Segmentation ". IJCV 2004. [4] Achant et al. "  Frequency-tuned Salient Region Detection  ". CVPR 2009.
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UIUC CS 498 - Computational Photography - Final project presentation