Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Image-based modeling and photo editing
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
VideoTrace: rapid interactive scene modelling from video
ACM SIGGRAPH 2007 papers
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
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
Semi-Autonomous Generation of Appearance-based Edge Models from Image Sequences
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
OutlinAR: an assisted interactive model building system with reduced computational effort
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Indoor/outdoor pedestrian navigation with an embedded GPS/RFID/self-contained sensor system
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Discovering Higher Level Structure in Visual SLAM
IEEE Transactions on Robotics
Economic and Synergistic Pedestrian Tracking System with Service Cooperation for Indoor Environments
International Journal of Organizational and Collective Intelligence
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We propose a 3D modeler for supporting in-situ indoor modeling effectively. The modeler allows a user easily to create models from a single photo by interaction techniques taking advantage of features in indoor space and visualization techniques. In order to integrate the models, the modeler provides automatic integration functions using Visual SLAM and pedestrian dead-reckoning (PDR), and interactive tools to modify the result. Moreover, for preventing shortage of texture images to be used for the models, our modeler automatically searches from 3D models created by the user for un-textured regions and intuitively visualizes shooting positions to take a photo for the regions. These functions make it possible that the user easily create photorealistic indoor 3D models that have enough textures on the fly.