An Introduction to 3D Computer Vision Techniques and Algorithms

DOI10.1002/9780470699720zbMath1230.68201OpenAlexW1533475971MaRDI QIDQ3649083

Bogusław Cyganek, J. Paul Siebert

Publication date: 2 December 2009

Full work available at URL: https://doi.org/10.1002/9780470699720

zbMATH Keywords

image processingimage matching3D models3D surface imaging and analysismultiview integrationscale-space visionspace reconstruction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45) Software, source code, etc. for problems pertaining to computer science (68-04)

Related Items (4)

One-class support vector ensembles for image segmentation and classification ⋮ Non-intrusive Estimate of Spatially Varying Internal Heat Flux in Coiled Ducts: Method of Fundamental Solutions Applied to the Reciprocity Functional Approach ⋮ Watertight 2-manifold 3D bone surface model reconstruction from CT images based on visual hyper-spherical mapping ⋮ Novel re-parameterization for shape optimization and comparison with knot-based gradient fitting method

Uses Software

• Matlab

This page was built for publication: An Introduction to 3D Computer Vision Techniques and Algorithms