Caeiro, J.J.
* Errors in the estimation of gradient direction using IIR and FIR implementations
* Mixed Exponentials Filter for Edge Detection and the Fredholm Integral Equation of the First Kind
Caelli, T.
* Online Discriminative Approach to Background Subtraction, An
Caelli, T.M.[Terry M.]
* email: Caelli, T.M.[Terry M.]: tcaelli AT ualberta.ca
* 3D Mapping of Surface Temperature Using Thermal Stereo
* 3D Shape Matching and Inspection Using Geometric Features and Relational Learning
* Adaptive Computational Model for Texture Segmentation, An
* Adaptive Gabor Filters for Texture Segmentation
* Adaptive iterative algorithm for image restoration
* Application of Agent-Oriented Techniques to Symbolic Matching and Object Recognition, An
* Approximating the problem, not the solution: An alternative view of point set matching
* Bayesian Stereo Matching
* Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
* CITE: A Trainable Image Annotation System
* Coding Images in the Frequency Domain: Filter Design and Energy Processing Characteristics of the Human Visual System
* Combining NL Processing and Video Data to Query American Football
* comparison of junction tree and relaxation algorithms for point matching using different distance metrics, A
* Component Optimization for Image Understanding: A Bayesian Approach
* Components analysis of hidden Markov models in computer vision
* Computation of Surface Geometry and Segmentation Using Covariance Techniques
* Concurrent, Hierarchical Approach to Symbolic Dynamic Scene Interpretation, A
* Diagnostic tools for evaluating and updating hidden Markov models
* Efficient Visual Representation and Reconstruction from Generalized Curvature Measures
* Eigenspace Projection Clustering Method for Inexact Graph Matching, An
* Encoding Visual Information Using Anisotropic Transformations
* Entropy Production in Colour Images
* Entropy-based representation of image information
* Estimating the Parameters of an Illumination Model Using Photometric Stereo
* Fast Edge-Only Matching Techniques for Robot Pattern Matching
* Figural Synthesis
* Filter techniques for complex spatio-chromatic image processing
* Filter-Based Models for Pattern Classification
* Forestry Scene Geometry Estimation Via Statistical Learning
* Generalized Spatio-Chromatic Diffusion
* Generating Complete Depth Maps In Passive Vision Systems
* graph decomposition approach to least squares attributed graph matching, A
* Graphical Models and Point Pattern Matching
* Graphical models for graph matching
* Graphical models for graph matching: Approximate models and optimal algorithms
* Image Encoding, Labeling and Reconstruction from Differential Geometry
* Improved estimation of hidden Markov model parameters from multiple observation sequences
* improved rule generation method for evidence-based classification systems, An
* In-place covariance operators for computer vision
* information-theoretic approach to active vision, An
* Interactively Matching Hand-Drawings Using Induction
* Invariance Signatures: Characterizing Contours by Their Departures from Invariance
* Invariant Object Material Identification via Discriminant Learning on Absorption Features
* Invariant Pattern Recognition Using Multiple Filter Image Representations
* Inverting an Illumination Model from Range and Intensity Maps
* Learning how to find patterns or objects in complex scenes
* Learning Image Annotation: The Cite System
* Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance
* Learning Relational Structures: Applications to Computer Vision
* Learning Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation
* Learning Task-Specific Object Recognition and Scene Understanding
* Local Structure in Images from Entropy Production
* Low-cost Interactive Active Monocular Range Finder
* Low-cost interactive active range finder
* Machine Learning and Image Interpretation
* Machine Learning Paradigms for Pattern Recognition and Image Understanding
* model-based neural network for edge characterization, A
* Multiobject Pattern Recognition and Detection in Noisy Backgrounds Using a Hierarchical Approach
* On Learning the Shape of Complex Actions
* On Perceptual Analyzers Underlying Visual Texture Discrimination: Part I
* On Perceptual Analyzers Underlying Visual Texture Discrimination: Part II
* On the Classification of Image Regions by Colour, Texture, and Shape
* On the Extraction and Alignment of Image Edges
* On the Learning of Complex Movement Sequences
* On the Limits of Fourier Decompositions in Visual Texture Perception
* On the Minimum Number of Templates Required for Shift, Rotation and Size Invariant Pattern Recognition
* On the Relationship Between Surface Covariance and Differential Geometry
* On the Representation of Image Structures via Scale Space Entropy Conditions
* On the Representation of Visual Information
* On the Symbolic Interpretation of Traffic Scenes
* Parsing Scale-Space and Spatial Stability Analysis
* Picture Interpretation: A Symbolic Approach
* Range Image Segmentation by Dynamic Neural-Network Architecture
* Range Measurement from Defocus Gradient
* Recovery of the 3-D Location and Motion of a Rigid Object Through Camera Image (An Extended Kalman Filter Approach)
* Region-Based Coding of Color Images Using Karhunen-Loeve Transform
* relational learning method for pattern and object recognition, A
* Road tracking in aerial images based on human-computer interaction and Bayesian filtering
* Robust and Efficient Road Tracking in Aerial Images
* Rulegraphs for Graph Matching in Pattern Recognition
* Rulegraphs for Pattern Recognition
* Scene Understanding by Rule Evaluation
* Sequential Adaptive Recursive Filter for Image Restoration, A
* Some new techniques for evidence-based object recognition: EB-ORS1
* Specular Free Spectral Imaging Using Orthogonal Subspace Projection
* Texture Classification and Segmentation Algorithms in Man and Machine
* Theory of spatiochromatic image encoding and feature extraction
* Three Processing Characteristics of Visual Texture Segmentation
* trainable hierarchical hidden markov tree model for color image annotation, A
* Unified Formulation of Invariant Point Pattern Matching, A
* Using Gabor Filters to Measure the Physical Parameters of Lines
* Validation of Machine Learning Techniques: Decision Trees and Finite Training Set
* Variations on the Evidence-Based Object Recognition Theme
* Visual information from anisotropic transformations
* Visual Perception, Theory and Practice
Includes: Caelli, T.M.[Terry M.] Caelli, T.M.
96 for Caelli, T.M.
Caenen, G.[Geert]
* Analysis of Human Locomotion based on Partial Measurements
* Analyzing the Layout of Composite Textures
* Composite Texture Descriptions
* Composite Texture Synthesis
* Image Segmentation Based on Statistically Principled Clustering
* Maximum Response Filters for Texture Analysis
* Parallel Composite Texture Synthesis
* Pariss: Panoramic, Adaptive and Reconfigurable Interface for Similarity Search
* Perceptive User Interface, a Generic Approach
* Reconstruction of Subjective Surfaces from Occlusion Cues
Includes: Caenen, G.[Geert] Caenen, G.
10 for Caenen, G.
Caesar, T.
* New Features for Chinese Character Recognition
Caetano, R.[Rogerio]
* bit allocation scheme for a class of embedded wavelet video encoders, A
* Improved dictionaries for generalized bitplanes-based matching pursuits video coding using ridgelets
* Matching pursuits video coding using generalized bit-planes
Includes: Caetano, R.[Rogerio] Caetano, R.[Rogério] Caetano, R.
Caetano, T.S.[Tiberio S.]
* Approximating the problem, not the solution: An alternative view of point set matching
* comparison of junction tree and relaxation algorithms for point matching using different distance metrics, A
* Do mixture models in chromaticity space improve skin detection?
* Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching
* Graphical Models and Point Pattern Matching
* Graphical models for graph matching
* Graphical models for graph matching: Approximate models and optimal algorithms
* Learning Graph Matching
* MRF and Gaussian Curvature Based Shape Representation for Shape Matching, An
* probabilistic model for the human skin color, A
* Unified Formulation of Invariant Point Pattern Matching, A
Includes: Caetano, T.S.[Tiberio S.] Caetano, T.S.[Tibério S.] Caetano, T.S.
11 for Caetano, T.S.