| _ | kernel | _ |
| Constant-Time Filtering With Space-Variant | kernel | s |
| Deformable | kernel | s For Early Vision |
| Deformable | kernel | s For Early Vision |
| Design Of An Iconic | kernel | System |
| Digital Version Of The Matheron Representation Theorem For Increasing Tau-Mappings In Terms Of A Basis For The | kernel | , A |
| Estimating Adaptive | kernel | s From Local Image Grey Value Changes |
| Families Of Tuned Scale-Space | kernel | s |
| Fast Algorithm For Local Minimum And Maximum Filters On Rectangular And Octagonal | kernel | s, A |
| Finding The | kernel | Of A Planar Shape |
| Frequency Domain Analysis And Synthesis Of Image Pyramid Generating | kernel | s |
| Hough Transform Algorithm With A 2d Hypothesis Testing | kernel | , A |
| Hough Transform Algorithm With A 2d Hypothesis Testing | kernel | , A |
| kernel | Designs For Efficient Edge Detection And Orientation Estimation |
| kernel | System For Iconic Image Processing, A |
| Laplacian-Of-Gaussian | kernel | : A Formal Analysis And Design Procedure For Fast, Accurate Convolution And Full-Frame Output, The |
| Mks: A Multisensor | kernel | System |
| Object Oriented Approach For An Iconic | kernel | System Iks, An |
| Optimal $L_1$ Approximation Of The Gaussian | kernel | With Application To Scale-Space Construction |
| Optimal Generating | kernel | s For Image Pyramids By Piecewise Fitting |
| Optimal, Small | kernel | s For Edge Detection |
| Overview Of The Programmer'S Imaging | kernel | (Pik) Proposed Standard, An |
| Pyramidal Implementation Of Deformable | kernel | s |
| Real-Time Range Image Segmentation Using Adaptive | kernel | s And Kalman Filtering |
| Recognition Of Distorted Patterns By Invariance | kernel | s |
| Recognition Of Distorted Patterns By Invariance | kernel | s |
| Scale-Space Analysis And Corner Detection On Digital Curves Using A Discrete Scale-Space | kernel | |
| Small Convolution | kernel | s For High-Fidelity Image Restoration |
| Steerable-Scalable | kernel | s For Edge Detection And Junction Analysis |
| Steerable-Scalable | kernel | s For Edge Detection And Junction Analysis |
| Svd And Log-Log Frequency Sampling With Gabor | kernel | s For Invariant Pictorial Recognition |
| Uniqueness Of The Gaussian | kernel | For Scale-Space Filtering |
| X-Y Separable Pyramid Steerable Scalable | kernel | s |
32 for kernel
| _ | key | _ |
| Adaptive | key | Frame Extraction Using Unsupervised Clustering |
| Automatic Video Data Structuring Through Shot Partitioning And | key | -Frame Computing |
| Controlling Growing Snakes By Using | key | -Points |
| Indexing Pictures By | key | Objects For Large-Scale Image Databases |
| key | Extraction By Image Differentiation |
| Pyramid Vision Using | key | Features |
| Pyramidal Approach For The Recognition Of Neurons Using | key | Features, A |
| Role Of | key | -Points In Finding Contours, The |
| Several | key | Problems In Model-Based Image Sequence Compresion By Using Interframe Aus Correlation |
| Spatial Match Retrieval Based On Direction Signatures Using Multiple | key | Hashing Schemes |
10 for key