1 September 1991 Matching 3-D smooth surfaces with their 2-D projections using 3-D distance maps
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The matching of 3-D anatomical surfaces to 2-D x-ray projections is an important problem in computer and robot assisted surgery. This paper presents a new method for determining the rigid body transformation that describes this match. The method performs a least squares minimization of the distance between the camera-contour projection lines and the surface. To correctly deal with projection lines that penetrate the surface, the square of the minimum signed distance along each line (distances inside the object are negative) is minimized. To quick and accurately compute distances to the surface, the precomputed distance map is represented using an octree spline whose resolution increases near the surface. The octree allows for quickly finding the minimum distance along each line using best-first search. This paper presents experimental results of 3-D surface to 2-D projection matching, and also shows how our method works for 3-D to 3-D surface matching.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephane Lavallee, Richard Szeliski, Lionel Brunie, "Matching 3-D smooth surfaces with their 2-D projections using 3-D distance maps", Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.48435; https://doi.org/10.1117/12.48435


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