Multiple view geometry in computer vision
Multiple view geometry in computer vision
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Match Propogation for Image-Based Modeling and Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Uncertainty Modeling for Optimal Structure from Motion
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Gauge Independence in Optimization Algorithms for 3D Vision
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
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
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Virtualized reality: concepts and early results
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Surface Reconstruction Method Using Global Graph Cut Optimization
International Journal of Computer Vision
Towards an Embedded Visuo-Inertial Smart Sensor
International Journal of Robotics Research
Self-calibration using a particular motion of camera
WSEAS Transactions on Computer Research
Recent methods for reconstructing surfaces from multiple images
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
A hybrid image-based modelling algorithm
ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference - Volume 135
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This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspondences rather than the standard sparse points of interest. It not only produces more accurate and robust reconstruction due to highly redundant and well spread input data, but also fills the gap of insufficiency of sparse reconstruction for visualization application. The computational engine is the quasi-dense 2-view and the quasi-dense 3-view algorithms developed in this paper. Experiments on real sequences demonstrate the superior performance of quasi-dense w.r.t. sparse reconstruction both in accuracy and robustness.