EDGE DETECTION
... How Laplacian/Laplacian of Gaussian Works The Laplacian L(x,y) of an image with pixel intensity values I(x,y) is given by: ...
... How Laplacian/Laplacian of Gaussian Works The Laplacian L(x,y) of an image with pixel intensity values I(x,y) is given by: ...
Learning to Control Robotic Systems Presented at
... and down generations without the need for genetic inheritance. • Cognitive Imitation: [Cognitive Imitation in Rhesus ...
... and down generations without the need for genetic inheritance. • Cognitive Imitation: [Cognitive Imitation in Rhesus ...
An Application of Ant Colony Optimization to Image Clustering
... Content-based image retrieval can be dramatically improved by providing a good initial clustering of visual data. The problem of image clustering is that most current algorithms are not able to identify individual clusters that exist in different feature subspaces. In this paper, we propose a novel ...
... Content-based image retrieval can be dramatically improved by providing a good initial clustering of visual data. The problem of image clustering is that most current algorithms are not able to identify individual clusters that exist in different feature subspaces. In this paper, we propose a novel ...
Pill-ID: Matching and Retrieval of Drug Pill Images
... Rohypnol is currently supplied with a 1-milligram dose in an olive green, oblong tablet, imprinted with the number 542. In general, matching pill images with the patterns of previously seized pills is the only effective way to identify illicit drug pills. Consequently, it is important to develop an i ...
... Rohypnol is currently supplied with a 1-milligram dose in an olive green, oblong tablet, imprinted with the number 542. In general, matching pill images with the patterns of previously seized pills is the only effective way to identify illicit drug pills. Consequently, it is important to develop an i ...
Computed Tomography Images for Computer Aided Diagnosis of
... Prof& Head, Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India2 Assistant Professor, Department of PG Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, Shivamogga, Karnataka, India3 Abstract: The main goal of o ...
... Prof& Head, Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India2 Assistant Professor, Department of PG Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, Shivamogga, Karnataka, India3 Abstract: The main goal of o ...
A Committee of Neural Networks for Traffic Sign Classification
... from 15 × 15 to 250 × 250 pixels and are not necessarily square. The actual traffic sign is not always centered within the image; its bounding box is part of the annotations. The training set consists of 26640 images; the test set of 12569 images. We crop all images and process only the bounding box ...
... from 15 × 15 to 250 × 250 pixels and are not necessarily square. The actual traffic sign is not always centered within the image; its bounding box is part of the annotations. The training set consists of 26640 images; the test set of 12569 images. We crop all images and process only the bounding box ...
AUTOMATIC BUILDIND DETECTION FROM HIGH RESOLUTION IMAGES BASED ON MULTIPLE FEATURES
... detection algorithm based on Earth Mover’s Distance to color remote sensing images. As reported recently, Earth Mover’s Distance works well in edge detection of images used in other fields. This novel algorithm proposes an edge model that assumes that the two distributions of pixel values on either ...
... detection algorithm based on Earth Mover’s Distance to color remote sensing images. As reported recently, Earth Mover’s Distance works well in edge detection of images used in other fields. This novel algorithm proposes an edge model that assumes that the two distributions of pixel values on either ...
An Effective Visual Descriptor Based on Color and - MEX
... broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in ...
... broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in ...
Red Blood Cells Classification using Image
... can be optimized to look for horizontal, vertical, or diagonal edges. Edge detection is difficult in noisy images, since both the noise and the edges contain high frequency content. Attempts to reduce the noise result in blurred and distorted edges. Operators used on noisy images are typically large ...
... can be optimized to look for horizontal, vertical, or diagonal edges. Edge detection is difficult in noisy images, since both the noise and the edges contain high frequency content. Attempts to reduce the noise result in blurred and distorted edges. Operators used on noisy images are typically large ...
Imagination, Human and Artificial Donald Perlis
... University of Maryland, College Park [email protected] ...
... University of Maryland, College Park [email protected] ...
Using Multi-Agent Strategies to Solve a Blocks
... blocks from an initial configuration to another configuration of blocks stacked upon one another. They are moved by a robot arm, which can only move one block at a time, from the top of one stack, to the top of another (or to the table to start a new stack). There is no limit to the number of stacks ...
... blocks from an initial configuration to another configuration of blocks stacked upon one another. They are moved by a robot arm, which can only move one block at a time, from the top of one stack, to the top of another (or to the table to start a new stack). There is no limit to the number of stacks ...
The MIT Artificial Intelligence Lab
... MIT Artificial Intelligence Laboratory — Research Directions ...
... MIT Artificial Intelligence Laboratory — Research Directions ...
Small Codes and Large Image Databases for Recognition
... • Global image representation • Describe the shapes occurring in an image with one descriptor – Subdivide image in 4×4 sub images – Calculate Gabor responses in each of these – Create histograms of Gabor responses in each sub image Slide by James Hays and Alexei Efros ...
... • Global image representation • Describe the shapes occurring in an image with one descriptor – Subdivide image in 4×4 sub images – Calculate Gabor responses in each of these – Create histograms of Gabor responses in each sub image Slide by James Hays and Alexei Efros ...
Compact color descriptor for fast image and video segment retrieval
... content of an image very well. However, in general, they need relatively large number of bits for representation. Using such a representation may not pose a problem for applications with a large storage capacity and with ample computational resources. However for applications like content filtering, ...
... content of an image very well. However, in general, they need relatively large number of bits for representation. Using such a representation may not pose a problem for applications with a large storage capacity and with ample computational resources. However for applications like content filtering, ...
VISUAL INFORMATION RETRIEVAL
... image into sub-areas and calculate a histogram for each of these sub-areas. Increasing the number of sub-area increases the information about location, but it also increases the memory. ...
... image into sub-areas and calculate a histogram for each of these sub-areas. Increasing the number of sub-area increases the information about location, but it also increases the memory. ...
Term Project Color and Illumination Independent Landmark
... feature points may be closer to or farther from each other depending on the angle, or may totally be hidden – Doing the computations on groups of feature points rather than individuals may improve the performance ...
... feature points may be closer to or farther from each other depending on the angle, or may totally be hidden – Doing the computations on groups of feature points rather than individuals may improve the performance ...
High-Dimensional Feature Descriptors to Characterize Volumetric
... medical volume datasets for object alignment. A 3D-SIFT feature is comprised of a 163 cubic voxel region around the keypoint, with 64 subregions and each summarized by an 8×8 histogram of voxel orientations. It uses two spherical coordinates (θ, φ) for parameterization to form the 3D-SIFT feature de ...
... medical volume datasets for object alignment. A 3D-SIFT feature is comprised of a 163 cubic voxel region around the keypoint, with 64 subregions and each summarized by an 8×8 histogram of voxel orientations. It uses two spherical coordinates (θ, φ) for parameterization to form the 3D-SIFT feature de ...
PhD proposal - Sophia
... classifier. The goal of the thesis will be to study such combination of appearance and geometrical models to obtain robust people detection and tracking algorithms. A second point will be to assess the dependence between the appearance models and the data sets required to learn the models. A last po ...
... classifier. The goal of the thesis will be to study such combination of appearance and geometrical models to obtain robust people detection and tracking algorithms. A second point will be to assess the dependence between the appearance models and the data sets required to learn the models. A last po ...