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
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A survey of free-form object representation and recognition techniques
Computer Vision and Image Understanding
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Estimating parameters for procedural texturing by genetic algorithms
Graphical Models
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
A scatter search-based technique for pair-wise 3D range image registration in forensic anthropology
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
An interactive co-evolutionary CAD system for garment pattern design
Computer-Aided Design
Performance evaluation of memetic approaches in 3D reconstruction of forensic objects
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Emerging Trends in Soft Computing - Memetic Algorithms; Guest Editors: Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
Adaptive computational chemotaxis in bacterial foraging optimization: an analysis
IEEE Transactions on Evolutionary Computation
Shading constraint improves accuracy of time-of-flight measurements
Computer Vision and Image Understanding
Interactive evolutionary 3D fractal modeling
The Visual Computer: International Journal of Computer Graphics
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings
International Journal of Computer Vision
On self-adaptive features in real-parameter evolutionary algorithms
IEEE Transactions on Evolutionary Computation
An approach to multimodal biomedical image registration utilizing particle swarm optimization
IEEE Transactions on Evolutionary Computation
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Image registration is a widely tackled research topic in the computer vision and the computer graphics fields. This problem aims to find an optimal transformation or correspondence between images acquired under different conditions. Recently, a new 3D image acquisition device based on the time-of-flight technology has appeared which obtains range images from real-time 3D video sequences. In this contribution, we aim to study the feasibility of using this new class of cameras to face the 3D model reconstruction procedure. Our proposal is two-fold. First, we introduce a novel image preprocessing pipeline in order to improve the quality of time-of-flight range images and a subsequent feature extraction method considering both 2D and 3D images. As second major objective, we propose an adaptation of the evolutionary bacterial foraging optimization algorithm, which has recently emerged as a very powerful technique for real parameter optimization and gained a high interest for distributed optimization and control, to tackle the range image registration problem. Finally, we analyse the performance of our proposal against other state-of-the-art evolutionary image registration methods.