• Publications
  • Influence
Image Registration: Principles, Tools and Methods
TLDR
This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. Expand
  • 210
  • 17
Detecting human faces in color images
TLDR
A method is introduced that detects human faces in color images by first separating skin regions from non-skin regions and then locating faces within the skin regions. Expand
  • 210
  • 16
Image registration by local approximation methods
  • A. Goshtasby
  • Mathematics, Computer Science
  • Image Vis. Comput.
  • 1 November 1988
TLDR
Weighed least-squares method with orthogonal polynomials and local weighted mean method for image registration. Expand
  • 261
  • 13
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
TLDR
Preface. 1. Introduction. 2. Glossary. 3. Acronyms. 4. Feature Selection. 5. Feature Correspondence. 6. Resampling. 7. Image Fusion. 8. Image Mosaicking. 9. Stereo Depth Perception. 10. Performance Evaluation. Expand
  • 372
  • 12
Piecewise linear mapping functions for image registration
  • A. Goshtasby
  • Mathematics, Computer Science
  • Pattern Recognit.
  • 1986
TLDR
A new approach to determination of mapping functions for registration of digital images is presented by piecing together the linear mapping functions. Expand
  • 263
  • 12
Fusion of multi-exposure images
  • A. Goshtasby
  • Computer Science, Mathematics
  • Image Vis. Comput.
  • 1 June 2005
TLDR
A method for fusing multi-exposure images of a static scene taken by a stationary camera into an image with maximum information content is introduced. Expand
  • 248
  • 12
  • PDF
2-D and 3-D Image Registration for Medical
  • 137
  • 10
Image fusion: Advances in the state of the art
TLDR
Image fusion is the process of combining information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or computer processing. Expand
  • 491
  • 9
  • PDF
A comparative study of transformation functions for nonrigid image registration
TLDR
Transformation functions play a major role in nonrigid image registration. Expand
  • 193
  • 9
  • PDF
Matching of tomographic slices for interpolation
TLDR
An automatic method that can transform a sequence of tomographic image slices into an isotropic volume data set is described. Expand
  • 150
  • 9