Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Robust regression methods for computer vision: a review
International Journal of Computer Vision
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Planar object recognition using projective shape representation
International Journal of Computer Vision
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
Matching 3-D Models to 2-D Images
International Journal of Computer Vision
Indexing without Invariants in 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Parameter Estimation in Computer Vision
SIAM Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing based frame-rate spatial referencing algorithms: application to laser retinal surgery
Indexing based frame-rate spatial referencing algorithms: application to laser retinal surgery
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Adapting indexing trees to data distribution in feature spaces
Computer Vision and Image Understanding
Model based segmentation for retinal fundus images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A region based algorithm for vessel detection in retinal images
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Computer vision algorithms for retinal image analysis: current results and future directions
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Pattern Recognition Letters
Hi-index | 0.14 |
This paper describes an algorithm to continually and accurately estimate the absolute location of a diagnostic or surgical tool (such as a laser) pointed at the human retina, from a series of image frames. We treat the problem as a registration problem using diagnostic images to build a spatial map of the retina and then registering each online image against this map. Since the image location where the laser strikes the retina is easily found, this registration determines the position of the laser in the global coordinate system defined by the spatial map. For each online image, the algorithm computes similarity invariants, locally valid despite the curved nature of the retina, from constellations of vascular landmarks. These are detected using a high-speed algorithm that iteratively traces the blood vessel structure. Invariant indexing establishes initial correspondences between landmarks from the online image and landmarks stored in the spatial map. Robust alignment and verification steps extend the similarity transformation computed from these initial correspondences to a global, high-order transformation. In initial experimentation, the method has achieved 100 percent success on 1024 x 1024 retina images. With a version of the tracing algorithm optimized for speed on 512 x 512 images, the computation time is only 51 milliseconds per image on a 900MHz PentiumIII processor and a 97 percent success rate is achieved. The median registration error in either case is about 1 pixel.