Corpus ID: 2121536

An Iterative Image Registration Technique with an Application to Stereo Vision

  title={An Iterative Image Registration Technique with an Application to Stereo Vision},
  author={Bruce D. Lucas and Takeo Kanade},
Image registration finds a variety of applications in computer vision. Unfortunately, traditional image registration techniques tend to be costly. We present a new image registration technique that makes use of the spatial intensity gradient of the images to find a good match using a type of Newton-Raphson iteration. Our technique is taster because it examines far fewer potential matches between the images than existing techniques Furthermore, this registration technique can be generalized to… Expand
Fast Image Registration Using a Multi-Pass Image Interpolation Approach
Image registration is a fundamental technique in image processing. It is used to spatially align two or more images that have been captured at different times, from different sensors, or fromExpand
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Image registration for real image sequences often fails to estimate accurate motion parameters because of illumination change, occlusion or an approximation error of a specific motion model. In thisExpand
Local image registration: an adaptive filtering framework
The proposed adaptive filtering framework has been shown by experimental results to give superior performance compared to global 2-D parametric registration and Lucas-Kanade optical flow technique when the image motion consists of mostly translational motion. Expand
An adaptive filtering framework for image registration
Experimental results show that the proposed method can significantly improve accuracy and robustness over a global 2D parametric registration and can also outperform the local registration algorithm based on the Lucas-Kanade optical flow technique. Expand
A new approach for direct image registration
We present a novel algorithm for direct image registration, based on a generic description of the geometric transformation. The direct image registration algorithm consists of minimizing theExpand
Registration of Image Sequences from Experimental Low-Cost Fundus Camera
Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction and method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels are proposed. Expand
An Iterative Image Registration Technique Using a Scale-Space Model
Registration between two images is a key problem in computer vision. Current methods tend to separate the scale estimation process from translation and rotation estimation. This is due to the factExpand
Spline-Based Image Registration
A new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the problems in multiframe image analysis, including the computation of optic flow, stereo correspondence, structure from motion, and feature tracking. Expand
Region-based image registration for mosaicking
  • S. Roy
  • Computer Science
  • Int. J. Comput. Appl. Technol.
  • 2010
The proposed method consists of three stages, a region segmentation technique is used to find reasonably good regions in image pairs, and an adjacency relationship based region matching technique is proposed to find corresponding regions between image pairs. Expand
Digital image correlation in experimental mechanics and image registration in computer vision: Similarities, differences and complements
It is shown that some concepts from the image registration or matching technique can be applied to the digital image correlation technique to substantially enhance its performance, which can help broaden the applications ofdigital image correlation in scientific research and engineering practice. Expand


A Class of Algorithms for Fast Digital Image Registration
A class of algorithms, which may be used to determine similarity in a far more efficient manner than methods currently in use, is introduced in this paper and may be a saving of computation time of two orders of magnitude or more by adopting this new approach. Expand
A computational theory of human stereo vision.
  • D. Marr, T. Poggio
  • Medicine, Computer Science
  • Proceedings of the Royal Society of London. Series B, Biological sciences
  • 1979
It is shown that this proposal provides a theoretical framework for most existing psychophysical and neurophysiological data about stereopsis and several critical experimental predictions are also made, for instance about the size of Panum's area under various conditions. Expand
Obstacle avoidance and navigation in the real world by a seeing robot rover
Abstract : The Stanford AI Lab cart is a card-table sized mobile robot controlled remotely through a radio link, and equipped with a TV camera and transmitter. A computer has been programmed to driveExpand
Problem-solving methods in artificial intelligence
  • N. Nilsson
  • Computer Science
  • McGraw-Hill computer science series
  • 1971
This paper will concern you to try reading problem solving methods in artificial intelligence as one of the reading material to finish quickly. Expand
Proceedings: Image Understanding Workshop
  • DARPA, November,
  • 1979
Edge Based Stereo Correlation
  • Proceedings: Image Understanding Workshop
  • 1980
Edge Based Stereo Correlation. DARPA Image Understanding Workshop
  • Edge Based Stereo Correlation. DARPA Image Understanding Workshop
  • 1980
Harlyn . Edge Based Stereo Correlation
  • 1980
Stereo-Camera Calibration. DARPA Image Understanding Workshop
  • Stereo-Camera Calibration. DARPA Image Understanding Workshop
  • 1979
Visual Mapping by a Robot Rover