Re: Exact features matching from two aerial photos - for change detection

In fact I am seeking a generic approach to projecting every pixel in
Scene A to Scene B, based on features. In other words, I wish to find
all corresponding feature-level pixels between both scenes, in an
automated manner. Shadow is just a single issue for the challenge.
THANKS.
.

Relevant Pages

  • Re: Exact features matching from two aerial photos - for change detection
    ... features from scene A to scene B, and ... visualize the matching degree for each of all features. ... projected and repositioned based on scene B, pixel by pixel. ... be dark because it's in a shadow, or it could be dark because the dirt ...
    (sci.image.processing)
  • Re: Exact features matching from two aerial photos - for change detection
    ... features from scene A to scene B, and ... visualize the matching degree for each of all features. ... if you have shadows since how do you know it's a shadow instead ... Find the SIFT features on each of the images of one scene. ...
    (sci.image.processing)
  • Re: Owen Hjort Mohn algorithm
    ... What features do you refer to? ... of the values of a pixel and its four nearest neighbours. ... Software for segmentation and classification problems is available at: ... Does anybody know where to find an implementation of the Owen Hjort Mohn algortihm? ...
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  • Re: Identifying pixels
    ... I have a 3d scene with various objects rendered, and I'm trying to do the following: render a small tooltip that shows the distance of the camera to the point in 3d space that corresponds to the pixel the mouse points. ... Of course, rendering the scene for every mouse move is not desired, but I don't see another way, and reading the depth value for all pixels, is slow. ... It doesn't happen as often as it should, because scientists ...
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  • Re: Identifying pixels
    ... I know that I have to get the z buffer for the pixel, ... >>> for an arbitrary pixel, without rendering the scene first, and reading ...
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