How can In convert video to 3d image

I have many images frames of video I want to filter useful images and convert it to 3d image. How can I do it???

Answer 1

[KALYAN ACHARJYA]

One Way (Considering Gray Images):

1. Extract the individuals frames and save in cell array
2. reshape(all_frames,[row_frame,col_frame,total_number_of_frames])

Example:

%im1,im2,im3 ..are frames
[r c]=size(im1); % any one frame
data=[im1,im2.......]  
result=reshape(data1,[r,c,number_of_frames]);

You can extent the same logic for RGB also, which have three planes, how you going to concatenate all frames, you have to figure out? See multidimentional array here

Good Luck!

[Aditi Singh]

Thanks sir, for your reply but I need to filter the useful images out of it, can you help me to do that.

[KALYAN ACHARJYA]

I need to filter the useful images out of it

How you decide which frames are useful or not?

[Aditi Singh]

Sir, I am making 3d face out of a 180degeree face video, but while using concat function I need to filter the noise from the video frame. I would be greatful if you will help to find out the way to filter the noise out of video frames

[Aditi Singh]

Can someone please help for above mentioned question

[KALYAN ACHARJYA]

Start with simplest case:

1.Consider three frames from the video

2.Read the frames (each frame is just image) store three variables, say im1, im2 and im3

Please ensure all frames are gray and having same size

image_3d=cat(3,im1,im2,m3);

Try to implement and if it works go for more options.

[Aditi Singh]

Sir can you help me to find out camera calibration of an image???