Real-time numerical peak detector
Signal Processing
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Globally Consistent Range Scan Alignment for Environment Mapping
Autonomous Robots
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
International Journal of Computer Vision
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Edge-sharpener: recovering sharp features in triangulations of non-adaptively re-meshed surfaces
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
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
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
6D SLAM—3D mapping outdoor environments: Research Articles
Journal of Field Robotics
Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment
International Journal of Computer Vision
Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
Interactive model reconstruction with user guidance
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
The self-referenced DLR 3D-modeler
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Sparse non-linear least squares optimization for geometric vision
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Computer Vision: Algorithms and Applications
Computer Vision: Algorithms and Applications
Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multiview Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-quality shape from multi-view stereo and shading under general illumination
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
High Accuracy and Visibility-Consistent Dense Multiview Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Large-Scale 6-DOF SLAM With Stereo-in-Hand
IEEE Transactions on Robotics
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Structured light methods achieve 3D modelling by observing with a camera system, a known pattern projected on the scene. The main drawback of single projection structured light methods is that moving the projector changes significatively the appearance of the scene at every acquisition time. Classical multi-view stereovision approaches based on the appearance matching are then not useable. The presented work is based on a two-cameras and one single slide projector system embedded in a hand-held device for industrial applications (reverse engineering, dimensional control, etc). We propose a method to achieve multi-view modelling for camera pose and surface reconstruction estimation in a joint process. The proposed method is based on the extension of a stereo-correlation criterion. Acquisitions are linked through a generalized expression of local homographies. The constraints brought by this formulation allow an accurate estimation of the modelling parameters for dense reconstruction of the scene and improve the result when dealing with detailed or sharp objects, compared to pairwise stereovision methods.