Drawing, Painting and Stylization; Interactive image editing
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Transcript of Drawing, Painting and Stylization; Interactive image editing
Drawing, Painting and Stylization; Interactive image
editing Xiaoguang Han
2011-07-04
Papers
• Interactive Editing of Massive Imagery Made Simple: Turning Atlanta into Atlantis (TOG)
• Geodesic Image and Video Editing (TOG)• Matting and Compositing of Transparent and
Refractive Objects (TOG)• Nonlinear Revision Control for Images (demo)• ShadowDraw: Real-Time User Guidance for Freehand
Drawing • A Programmable System for Artistic Volumetric
Lighting• Coherent Noise for Non-Photorealistic Rendering
Gigapixel images
Goal
• Interactive Editing - Real time - Minimal memory • Interactive Editing - Seamless cloning/panorama stitching - Gradient-based image processing
Panorama stitching
Progressive Poisson Solver
• A global progressive solver provides a near instant coarse approximation of the full solution
• A local progressive solver provides a quick solution for the visible pixels
Edinburgh panorama 16,950*2,956
Framework
• Initial solution • Progressive refinement• Local preview• Progressive full solution• Out-of-core solver
Turning Atlanta into Atlantis
Contribution
• A coarse-to-fine progressive Poisson solver running at interactive frame rates
• A method to locally refine solutions having time and space requirements
• A full out-of-core solver that maintains strict control over system resources
• A lightweight streaming framework that provides adaptive multi-resolution access to out-of-core imges
[ICCV2007] A geodesic framework for fast interactive image and video matting
Geodesic matting
Geodesic matting
Geodesic distance (binary region)
Generalized geodesic distance
Geodesic morphology
Geodesic Symmetric Filtering operator
Interactive segmentation of high resolution image
More results
Flattening
Goal
• Matting & Compositing - Cut and Paste
• Transparent and Refractive objects - no 3D information
Appearance model
• Specular highlights• Refractive Deformation• Light Attenuation
Attenuation-Refraction Matte(ARM)
ARM extraction
• M-extraction
G-extraction
Results
Results
Motivation
• Nonlinear Revision Control for documents
Current Linear Revision Control for images
Nonlinear Revision Control
Revision graph
Motivation
• Freehand Drawing - human intuition - rough & difficult
• Context based image retrieval - computer intelligence - not people’s want & time-consuming
Goal
• Real-time user guidance - computer is a partner in drawing process
Approach
• Database Creation - 40 categories: t-shirt, bicycle, car, etc. - edge extraction - patch descriptors - min-hash
Image Matching
• Candidate matches
• Image alignment • Image weighting
Results
User study
Goal
• Volumetric effect