Creating generative models from range images
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
3D Photography Using Shadows in Dual-Space Geometry
International Journal of Computer Vision
ACM SIGGRAPH Computer Graphics
Scanning physical interaction behavior of 3D objects
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Illumination distribution from shadows
Modelling from reality
International Journal of Computer Vision
Extracting Objects from Range and Radiance Images
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shadow matting and compositing
ACM SIGGRAPH 2003 Papers
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling and rendering of quasi-homogeneous materials
ACM SIGGRAPH 2005 Papers
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Scanning physical interaction behavior of 3D objects
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Camera calibration and light source orientation from solar shadows
Computer Vision and Image Understanding
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laser brush: a flexible device for 3D reconstruction of indoor scenes
Proceedings of the 2008 ACM symposium on Solid and physical modeling
A Simple Shadow Based Method for Camera Calibration
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Shape Reconstruction and Camera Self-Calibration Using Cast Shadows and Scene Geometries
International Journal of Computer Vision
Difference sphere: An approach to near light source estimation
Computer Vision and Image Understanding
Laser range scanner based on self-calibration techniques using coplanarities and metric constraints
Computer Vision and Image Understanding
Real-time face and object tracking
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
TrackSense: infrastructure free precise indoor positioning using projected patterns
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Shape reconstruction from cast shadows using coplanarities and metric constraints
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Data composite supplementation on stereo image processing with shadow casting
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Camera calibration and geo-location estimation from two shadow trajectories
Computer Vision and Image Understanding
GPS coordinates estimation and camera calibration from solar shadows
Computer Vision and Image Understanding
A low-cost range finder using a visually located, structured light source
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Face modeling using grid light and feature point extraction
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
A Combined Theory of Defocused Illumination and Global Light Transport
International Journal of Computer Vision
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A simple and inexpenssive approach for extracting the three-dimentional shape of objects is presented. It is based on 'weak structured lighting'; it differs from other conventional structured lighting approaches in that it requires very little hardware besides the camera: a desk-lamp, a pencil and a checkerboard. The camera faces the object, which is illuminated by the desk-lamp. The user moves a pencil in front of the light source casting a moving shadow on the object. The 3D shape of the object is extracted from the spatial and temporal location of the observed shadow. Experimental results are presented on three different scenes demonstrating that the error in reconstructing the surface is less than 1%.