A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
A General Surface Approach to the Integration of a Set of Range Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building 3-D models from unregistered range images
Graphical Models and Image Processing
A robust method for registration and segmentation of multiple range images
Computer Vision and Image Understanding
Description of complex objects from multiple range images using an inflating balloon model
Computer Vision and Image Understanding
Towards a General Multi-View Registration Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Estimating 3-D rigid body transformations: a comparison of four major algorithms
Machine Vision and Applications - Special issue on performance evaluation
An Integral Approach to Free-Form Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable Surface Reconstructiuon from Multiple Range Images
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Registration and Integration of Multiple Range Images for 3-D Model Construction
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Registration of Multiple Point Sets
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
A volumetric approach for interactive 3D modeling
Computer Vision and Image Understanding
Transformation image into graphics
Integrated image and graphics technologies
A paintbrush laser range scanner
Computer Vision and Image Understanding
Integrated shape model from multiview range images
SIGGRAPH '04 ACM SIGGRAPH 2004 Posters
3D registration of partially overlapping surfaces using a volumetric approach
Image and Vision Computing
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Log-polar height maps for multiple range image registration
Computer Vision and Image Understanding
A paintbrush laser range scanner
Computer Vision and Image Understanding
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Multiple range image registration by matching local log-polar range images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Expert Systems with Applications: An International Journal
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Modeling object shapes from multiple range images requires three processes: correction of measurement errors, registration of data shapes, and integrating them as a unified shape representation. We propose a method by which these tasks can be solved simultaneously. Discrete samples of the signed distance field (SDF) of the object surface are used as the shape representation. If the data shapes are registered correctly, the SDFs should match in the common coordinate system. The data shapes are first integrated by averaging the data SDFs assuming that they are roughly preregistered. Then, each data shape is registered to the integrated shape by estimating the optimal transformation. Integration and registration are alternately iterated until the input shapes are properly registered to the integrated shape. Weighting values are controlled to reject outliers derived from measurement errors and wrong correspondences. The proposed method does not suffer from cumulative registration errors because all data shapes are registered to the integrated shape. From the SDF shape representation, a polygon surface model is directly generated. The method was tested on synthetic and real range images.