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Kernel-based Template Alignment

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bfb0015548openalex-snapshot
EigenTracking: Robust matching and tracking of articulated objects using a view-based representation
inferredcites →https://doi.org/10.1023/a:1008061730969openalex-snapshot
Bidirectional Reflection Distribution Function of Thoroughly Pitted Surfaces
inferredcites →https://doi.org/10.1023/a:1008065931878openalex-snapshot
The Structure of Locally Orderless Images
inferredcites →https://doi.org/10.1023/a:1008078328650openalex-snapshot
CONDENSATION—Conditional Density Propagation for Visual Tracking
inferredcites →https://doi.org/10.1023/b:visi.0000029666.37597.d3openalex-snapshot
Active Appearance Models Revisited
inferredcites →https://doi.org/10.1109/cvpr.1997.609345openalex-snapshot
Projective registration with difference decomposition
inferredcites →https://doi.org/10.1109/cvpr.2001.990505openalex-snapshot
Robust online appearance models for visual tracking
inferredcites →https://doi.org/10.1109/cvpr.2001.990652openalex-snapshot
Equivalence and efficiency of image alignment algorithms
inferredcites →https://doi.org/10.1109/cvpr.2003.1211475openalex-snapshot
Mean-shift blob tracking through scale space
inferredcites →https://doi.org/10.1109/cvpr.2004.1315112openalex-snapshot
Multiple kernel tracking with SSD
inferredcites →https://doi.org/10.1109/cvpr.2005.242openalex-snapshot
Multiple collaborative kernel tracking
inferredcites →https://doi.org/10.1109/iccv.1998.710860openalex-snapshot
Active blobs
inferredcites →https://doi.org/10.1109/tpami.2003.1195991openalex-snapshot
Kernel-based object tracking
inferredcites →https://doi.org/10.1109/tpami.2004.2openalex-snapshot
Point matching under large image deformations and illumination changes
inferredcites →https://doi.org/10.1145/279232.279236openalex-snapshot
Algorithm 778: L-BFGS-B

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11949619_43openalex-snapshot
Inverse Composition for Multi-kernel Tracking
inferred← citeshttps://doi.org/10.1007/978-3-540-88682-2_50openalex-snapshot
Interactive Tracking of 2D Generic Objects with Spacetime Optimization
inferred← citeshttps://doi.org/10.1016/j.cviu.2008.11.003openalex-snapshot
Probabilistic fusion-based parameter estimation for visual tracking
inferred← citeshttps://doi.org/10.1016/j.patcog.2008.06.001openalex-snapshot
Piecewise affine kernel tracking for non-planar targets
inferred← citeshttps://doi.org/10.1109/icccnt.2017.8204081openalex-snapshot
Text recognition on PAN card using template matching method
inferred← citeshttps://doi.org/10.1109/icig.2011.55openalex-snapshot
Robust Visual Tracking by Integrating Lucas-Kanade into Mean-Shift
inferred← citeshttps://doi.org/10.1109/tcsvt.2009.2031393openalex-snapshot
Generalized Kernel-Based Visual Tracking
inferred← citeshttps://doi.org/10.1117/12.2252466openalex-snapshot
Fresnel calculation of holograms for micrometer-scale material structuring on substrates with complex surface topography
inferred← citeshttps://doi.org/10.1145/1179849.1180058openalex-snapshot
Video patch replacement
inferred← citeshttps://doi.org/10.3169/itej.63.1630openalex-snapshot
Image Processing/Conding and Applications: Thinning/Thickening and Difference Sub-template Matching-For Robust Recognition of Strongly Deteriorated Signboard Images-
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.321-324.1021openalex-snapshot
Robust Spatial-Color Feature with New Similarity Measure and Adaptive Template Update for Mean-Shift Tracking
inferred← citeshttps://doi.org/10.5075/epfl-thesis-4192openalex-snapshot
Augmented reality for non-rigid surfaces
inferred← citeshttps://doi.org/10.5121/ijci.2015.4603openalex-snapshot
Template Matching Technique for Searching Words in Document Images
inferred← citeshttps://doi.org/10.70675/7f39eaa6zb539z4843zb254z0ee3c2bcc04bopenalex-snapshot
Alignement paramétrique d’images : proposition d’un formalisme unifié et prise en compte du bruit pour le suivi d’objets
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