- #Recroding 3d information for 2d to 3d conversion how to#
- #Recroding 3d information for 2d to 3d conversion manual#
#Recroding 3d information for 2d to 3d conversion how to#
Of course, due to noise or inaccuracies at each of these steps you might want to consider how to solve the problem in a more global manner. For each pair you would calculate a different fundamental matrix. This whole stereo reconstruction would then be repeated for each pair of consecutive images (implying that you need an order to the images or at least knowledge of which images have many overlapping points). Once you have the corresponding points, you can then use epipolar geometry theory for the triangulation calculations to find the 3D co-ordinates of the points. Here is one highly cited paper comparing various techniques:Ī Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. Graph cuts: a global optimisation technique based on optimisation using graph theory.įor specific implementations you can use Google Scholar to search through the current literature.Sum of squared differences: take a region around a point and find the closest whole matching region in the other image.Custom markers: place markers or use specific patterns/colours that you can easily identify.
#Recroding 3d information for 2d to 3d conversion manual#
You need to find corresponding points such that you can then use triangulation to find the 3D co-ordinates of the points. Performing stereo reconstruction requires that pairs of images are taken that have a good amount of visible overlap of physical points. It is usually approached by solving the stereo-view reconstruction problem for each pair of consecutive images. Then parts will need to differ in color to help separate out the various parts of the model I expect also.Īs mentioned, the problem is very hard and is often also referred to as multi-view object reconstruction. Right now I am considering showing the house, then the user can put in some assistance for height, such as distance from the camera to the top of that part of the model, and given enough of this it would be possible to start calculating heights for the rest, especially if there is a top-down image, then pictures from angles on the four sides, to calculate relative heights. What language you explain in doesn't matter, as I am looking for the best approach.
If I sit down and think about taking more than one picture, labeling direction, and distance, I should be able to figure out how to do this, but, I thought I would ask if someone has some paper that may help explain more.
If I take a picture with a camera, so I know the distance from the camera to the object, such as a scale model of a house, I would like to turn this into a 3D model that I can maneuver around so I can comment on different parts of the house.