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In the field of computer vision, the reconstruction and
recognition of a 3-D object from a 2-D image are important
research topics. The active sensing grid-coded techniques
consists of four basic steps. The first step is to use the
structured light to project grid pattern onto the surfaces of
multiple 3-D objects. The second step is to take the images
with a CCD camera. The third step is to find the positions of
grid lines and their junction points. The final step is to
derive the location and related parameters of the 3-D objects.
In this thesis, we propose a method to extract multiple
object surfaces from a grid-coded image that allows object
mutual occlusion. Also, the positions of grid lines and their
junction points can be found automatically. These grid
information will be used in the structured lighting technique.
In segmenting the grid-coded images, we present a method to
use the length and slope of each line segment. By using these
features of each line segment, we can decompose the grid lines
into different object surfaces. After we obtain the grid
information of each object surface, we shall develope
algorithms to reconstruct and recognize the objects.
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