UIUC CS 498 - Computational Photography - Final project presentation

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Transcript of UIUC CS 498 - Computational Photography - Final project presentation

Computational Photography-Final Project-

Miniature PhotographyJia-Bin Huang

jbhuang1@illinois.edu

Outline

• Introduction of fake blur• Process Overview• Depth-of-Field (DOF) Specification• Results• Discussion

Introduction of Fake Miniature

Slide credit: Rebert Held

• Optical blur

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.

Thank You!Questions?