HBA Vision Architecture: Built and Benchmarked
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel Measurements Using a Moment-Based Edge Operator
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 1989 ACM/IEEE conference on Supercomputing
Stereo Correspondence by Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Tracking Strategy for Monocular Depth Inference over Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Directional Analysis of Images in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Approach to 3D Motion Analysis and Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
On Achievable Accuracy in Edge Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generalized Depth Estimation Algorithm with a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Widths Yield Reliable Finite Differences (Computer Vision)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some Defects in Finite-Difference Edge Finders
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Edge Location Error for Local Maximum and Zero-Crossing Edge Detectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced algorithmic approaches to medical image segmentation
Design of FIR Bilevel Laplacian-of-Gaussian filter
Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling Edges at Subpixel Accuracy Using the Local Energy Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Location Error of Curved Edges in Low-Pass Filtered 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Position-Orientation Masking Approach to Parametric Search for Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Stereovision matching through support vector machines
Pattern Recognition Letters
Feature Recognition in Solar Images
Artificial Intelligence Review
Fuzzy Cognitive Maps for stereovision matching
Pattern Recognition
Non-linear fourth-order image interpolation for subpixel edge detection and localization
Image and Vision Computing
Topological triangle characterization with application to object detection from images
Image and Vision Computing
Topological multi-contour decomposition for image analysis and image retrieval
Pattern Recognition Letters
Colorization of black-and-white cartoons
Image and Vision Computing
High-accuracy edge detection with Blurred Edge Model
Image and Vision Computing
Hand posture estimation from 2D monocular image
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Pattern Recognition Letters
Video codec for classical cartoon animations with hardware accelerated playback
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Integration of multi-feature fusion and dictionary learning for face recognition
Image and Vision Computing
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We present a system that takes a gray level image as input, locates edges with subpixel accuracy, and links them into lines. Edges are detected by finding zero-crossings in the convolution of the image with Laplacian-of-Gaussian (LoG) masks. The implementation differs markedly from M.I.T.'s as we decompose our masks exactly into a sum of two separable filters instead of the usual approximation by a difference of two Gaussians (DOG). Subpixel accuracy is obtained through the use of the facet model [1]. We also note that the zero-crossings obtained from the full resolution image using a space constant 驴 for the Gaussian, and those obtained from the 1/n resolution image with 1/n pixel accuracy and a space constant of 驴/n for the Gaussian, are very similar, but the processing times are very different. Finally, these edges are grouped into lines using the technique described in [2].