Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Rapid octree construction from image sequences
CVGIP: Image Understanding
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Automatic 3D Model Construction for Turn-Table Sequences
SMILE'98 Proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
3D shape recovery of complex objects from multiple silhouette images
Pattern Recognition Letters
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2004 Papers
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Web-based 3D Reconstruction Service
Machine Vision and Applications
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
VideoTrace: rapid interactive scene modelling from video
ACM SIGGRAPH 2007 papers
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Interactive 3D architectural modeling from unordered photo collections
ACM SIGGRAPH Asia 2008 papers
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Identifying foreground from multiple images
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A quality controllable multi-view object reconstruction method for 3D imaging systems
Journal of Visual Communication and Image Representation
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic foreground propagation in image sequences for 3D reconstruction
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Shape-from-Silhouette with two mirrors and an uncalibrated camera
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Reconstruction of sculpture from its profiles with unknown camera positions
IEEE Transactions on Image Processing
Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance
International Journal of Computer Vision
Multiple view object cosegmentation using appearance and stereo cues
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
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We present an interactive system to create 3D models of objects of interest in their natural cluttered environments. A typical setting for 3D modeling of an object of interest involves capturing images from multiple views in a multi-camera studio with a mono-color screen or structured lighting. This is a tedious process and cannot be applied to a variety of objects. Moreover, general scene reconstruction algorithms fail to focus on the object of interest to the user. In this paper, we use successful ideas from the object cut-out literature, and develop an interactive-cosegmentation-based algorithm that uses scribbles from the user indicating foreground (object to be modeled) and background (clutter) to extract silhouettes of the object of interest from multiple views. Using these silhouettes, and the camera parameters obtained from structure-from-motion, in conjunction with a shape-from-silhouette algorithm we generate a texture-mapped 3D model of the object of interest.