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  • 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, as well as measuring and comparing their performances using synthetic and real data. Expand
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 by using the luminance component of the color image and by template matching. Expand
Fusion of multi-exposure images
  • A. Goshtasby
  • Mathematics, Computer Science
  • Image Vis. Comput.
  • 1 June 2005
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. The method partitions the image domain intoExpand
Image registration by local approximation methods
  • A. Goshtasby
  • Mathematics, Computer Science
  • Image Vis. Comput.
  • 1 November 1988
TLDR
Two locally sensitive transformation functions are proposed for image registration by the weighted least-squares method and the local weighted mean method. Expand
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
TLDR
The aim of this work is to contribute towards the humanizing of image processing and its application in the context of computer vision. Expand
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, where the images are divided into triangular regions by triangulating the control points and the overall mapping function is obtained by piecing together the linear mapping functions. Expand
Detecting human faces in color images
TLDR
A method for detecting human faces in color images is described that first separates skin regions from nonskin regions and then locates faces within skin regions through a training process that contains the likelihoods of different colors representing the skin. Expand
Image fusion: Advances in the state of the art
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 computerExpand
Registration of images with geometric distortions
A technique for registration of images with geometric distortions is described. This technique uses two surface splines to represent the X-component and the Y-component of a mapping function. AExpand
Similarity and Dissimilarity Measures
The topics of similarity and dissimilarity measures are discussed in detail. The chapter starts with definitions of similarity and dissimilarity measures and lists the requirements for them to beExpand
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