A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE T. Pattern Anal., 24(3):347--364, 2002. Home/Search Document Not in Database Summary Related Articles Check |
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Covariance-Driven Mosaic Formation from.. - With Application To Self-citation (Stewart) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE T. Pattern Anal., 24(3):347--364, 2002.
The Dual Bootstrap Iterative Closest Point Algorithm with.. - Stewart, Tsai, Roysam (2003) (7 citations) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
accepted for publicaction in IEEE Trans. on Biomedical.. - Algorithms For Real-Time (2002) Self-citation (Stewart Roysam Tanenbaum) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364, 2002.
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. on PAMI, 24(3):347--364, 2002.
Frame-Rate Spatial Referencing Based on Invariant - Indexing And Alignment Self-citation (Stewart Roysam Tanenbaum) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364, 2002.
Retinal Vessel Centerline Extraction Using Multiscale Matched .. - Sofka, Stewart (2006) Self-citation (Stewart) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
A Feature-Based Technique for Joint, Linear.. - Can, Stewart.. (2001) (1 citation) Self-citation (Can Stewart Roysam Tanenbaum Feature-based) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear, 2001.
Retinal Vessel Extraction Using Multiscale Matched Filters.. - Sofka, Stewart (2005) Self-citation (Stewart) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
Disease-Oriented Evaluation of Dual-Bootstrap - Retinal Image Registration (2003) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. on PAMI, 24(3):347--364, 2002.
Disease-Oriented Evaluation of Dual-Bootstrap.. - Tsai, Majerovics.. (2003) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. on PAMI, 24(3):347--364, 2002.
The Dual-Bootstrap Iterative Closest Point Algorithm with.. - Stewart, Tsai, Roysam (2002) (7 citations) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
Frame-Rate Spatial Referencing Based on Invariant.. - Shen, Stewart.. (2002) (1 citation) Self-citation (Stewart Roysam Tanenbaum) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
The Dual-Bootstrap Iterative Closest Point Algorithm with.. - Stewart, Tsai, Roysam (2003) (7 citations) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347--364, 2002.
The Dual-Bootstrap Iterative Closest Point Algorithm with.. - Stewart, Tsai, Roysam (2002) (7 citations) Self-citation (Stewart Roysam) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364, 2002.
Predictive Scheduling Algorithms for Real-time.. - Lin, Stewart.. (2002) Self-citation (Stewart Roysam Tanenbaum) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364, 2002.
A Feature-Based Technique for Joint, Linear.. - Can, Stewart.. (2001) (1 citation) Self-citation (Can Stewart Roysam Tanenbaum Feature-based) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear, 2001.
Frame-Rate Spatial Referencing Based on Invariant.. - Shen, Stewart.. (2002) (1 citation) Self-citation (Stewart Roysam Tanenbaum) (Correct)
....by using automated, image based tools that determine the locations of selected spots on the retina surface using clinical image sequences. We call this capability spatial referencing. The reference coordinate frame is a spatial map of the retina, pre computed from o line diagnostic images [8, 9, 10, 11] (Figure 1) On line spatial referencing must be fast enough to enable real time control decisions that are the key to developing diagnostic and treatment aids. An important application for spatial referencing is laser retinal surgery. This is the only proven treatment for leading ....
....images and associated digital distance maps, and inter image transformations between diagnostic images. 2 Transformation Models Three transformation models are used in the indexing, re nement and veri cation procedures. The nal and most accurate model is a quadratic model derived in [8, 11]. Let x = x; y) be the coordinates of a point location in one image, I p , and let u = u; v) be the coordinates of the same location on the retina in a second image, I q . Then, the Figure 3: Illustrating indexing. A vector, f , of quasi invariants is computed from a constellation of ....
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364, 2002.
A View-Based Approach to Registration: Theory and.. - Stewart, Tsai, Perera (2003) Self-citation (Stewart) (Correct)
....generation, and minimization. The latter two are alternated until convergence. Several di#erent initial estimates may be evaluated. Thus far, our notion of a view is simply a gathering and synthesis of current techniques that use multiple resolutions [4, 17] hierarchies of transformations models [8, 15], and hierarchies of image primitives [16] In addition to this synthesis, however, we introduce two novel ideas. First, the view includes the image region over which the transformation estimate is considered accurate (Fig. 3) Second, instead of pre specifying the transition between views (e.g. ....
....The need for automatic region growth and model selection are most easily seen in Problem 1 (Fig. 3) The initial region and perhaps subsequent regions contain too few constraints to reliably estimate the 12 parameters of a quadratic model (Table 1) needed for accurate image wide alignment [8]. Thus, a lowerorder model must be used. The model should be chosen automatically based on the available constraints. A similar model selection problem arises in registering coarse resolution images. Region growth should also be data driven, with unstable estimates causing slow region growth, and ....
[Article contains additional citation context not shown here]
A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. on PAMI, 24(3):347--364, 2002.
On the Representation of Shapes Using Implicit Functions - Paragios, Taron, Huang.. (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:347--364, 2002.
Shape Learning Framework: Spline based registration and.. - TARON, PARAGIOS, al. (2005) (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:347--364, 2002.
Modelling Shapes with Uncertainties: Higher Order.. - TARON, PARAGIOS, al. (Correct)
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A. Can, C. Stewart, B. Roysam, and H. Tanenbaum. A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:347--364, 2002.
Real-time Video Mosaicing with Adaptive Parametric Warping - Le Lu, Dai, Hager (2003) (1 citation) (Correct)
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A. Can, C.V. Stewart, B. Roysam, and H.L. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina, IEEE Trans. on PAMI, 24:3 pp. 347-364, Mar. 2002.
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