david4810's profile - activity

regarding HoughLinesP the parameter lines equates as follows...

lines – Output vector of lines. Each line is represented by a 4-element vector (x_1, y_1, x_2, y_2) , where (x_1,y_1) and (x_2, y_2) are the ending points of each detected line segment.

I wish to write a program that takes in video or a sequence of images for example say a box on the floor, and then compute the edges of the box and generate a basic wireframe or textured 3D model.

I was wondering what would be a good workflow structure.

Possible ideas I have had include

1 Input image sequence

2 locate feature points that sit on a hough line and extract feature descriptors

3 Match feature points/hough lines between images perhaps use optical flow to constrain the search mask/area.

1. check that the texture between feature points/hough lines is an unchanging planar texture between images by doing some form of histogram matching.

5 somehow select the feature points/hough lines that best match the intersection of 2 planes.

1. perform delauny triangulation to generate the wireframe, perhaps extract textured planar surfaces

If anybody can suggest a better way or point me to some papers it would be appreciated.

The program dosnt need to be realtime it just needs to work robustly.