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    <p>I think that you could apply <a href="http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.250" rel="nofollow">space carving</a> in this instance (PDF can be downloaded from the link). This technique will allow you to construct a closed, polygonal representation of the subject.</p> <p>And, yes, some means of establishing the scale of your object will be needed. <a href="http://www.cse.unr.edu/~bebis/CS791E/Notes/CameraParameters.pdf" rel="nofollow">Here</a> is a brief discussion of the camera intrinsic and extrinsic parameters that are used to establish a relationship between an image pixel and an area (or volume). Since space carving requires that the viewpoint change between each frame, it's probably a good idea to recompute the external camera calibration parameters (extrinsic parameters) frequently. OpenCV has some capacity for determining camera parameters, see <a href="http://opencv.willowgarage.com/documentation/camera_calibration_and_3d_reconstruction.html" rel="nofollow">this reference</a> or perhaps this <a href="http://dasl.mem.drexel.edu/~noahKuntz/openCVTut10.html" rel="nofollow">tutorial</a>.</p> <p>Alteratively - if you can assume that the camera orientation will not change much between frames, you might try an easier method. As you suggested, an object of known size and orientation may be placed in the image, thereby providing scale cues. Note that this method is fairly straightforward, but will work under limited conditions. Foreshortening due to perspective and changes in perceived scale due to changing camera orientation will limit this method.</p> <p>Once the "space" of the chain has been identified and represented in polygonal (i.e. meshed) form, it should be straight-forward to compute the volume. OpenCV provides some mathematical primitives that should help.</p>
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