Publications associées à Détection de collision

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Removing Shadows from Images Using Color and Near-infrared

Sabine Süsstrunk, Neda Salamati, Arthur Germain

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Comparing machines and humans on a visual categorization test

François Fleuret, Charles Dubout, Ting Li

Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings. However, the performance of machines in providing rich semantic ...

2011

Fast Bounding Box Estimation based Face Detection

Sébastien Marcel, Venkatesh Bala Subburaman

The sliding window approach is the most widely used technique to detect an object from an image. In the past few years, classifiers have been improved in many ways to increase the scanning speed. Apart from the classifier design (such as cascade), the scan ...

2010

An Alternative Scanning Strategy to Detect Faces

Sébastien Marcel, Venkatesh Bala Subburaman

The sliding window approach is the most widely used technique to detect faces in an image. Usually a classifier is applied on a regular grid and to speed up the scanning, the grid spacing is increased, which increases the number of miss detections. In this ...

2010

Improved Linear Differential Attacks on CubeHash

Willi Meier, Shahram Khazaei, Deian Stefan, Simon Knellwolf

This paper presents improved collision attacks on round-reduced variants of the hash function CubeHash, one of the SHA-3 second round candidates. We apply two methods for finding linear differential trails that lead to lower estimated attack complexities w ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Fast Bounding Box Estimation based Face Detection

Sébastien Marcel, Venkatesh Bala Subburaman

Idiap2010

Fast collision detection methods for joint surfaces

Daniel Thalmann, Ronan Boulic, Ehsan Arbabi

In the recent years medical diagnosis and surgery planning often require the precise evaluation of joint movements. This has led to exploit reconstructed three-dimensional models of the joint tissues obtained from CT or MR Images (for bones, cartilages, et ...

2009

Pose Estimation for Category Specific Multiview Object Localization

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

We propose an approach to overcome the two main challenges of 3D multiview object detection and localization: The variation of object features due to changes in the viewpoint and the variation in the size and aspect ratio of the object. Our approach procee ...

IEEE2009

Détection de collision

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Chattez avec Graph Search

Removing Shadows from Images Using Color and Near-infrared

Lower Bounds on the Area Requirements of Series-Parallel Graphs

Comparing machines and humans on a visual categorization test

Fast Bounding Box Estimation based Face Detection

An Alternative Scanning Strategy to Detect Faces

Improved Linear Differential Attacks on CubeHash

Fast Bounding Box Estimation based Face Detection

Robust, High-Speed Interest Point Matching for Real-Time Applications

Fast collision detection methods for joint surfaces

Pose Estimation for Category Specific Multiview Object Localization

Fast Bounding Box Estimation based Face Detection

An Alternative Scanning Strategy to Detect Faces

Fast Bounding Box Estimation based Face Detection

Comparing machines and humans on a visual categorization test

Pose Estimation for Category Specific Multiview Object Localization

Removing Shadows from Images Using Color and Near-infrared

Improved Linear Differential Attacks on CubeHash

Lower Bounds on the Area Requirements of Series-Parallel Graphs

Robust, High-Speed Interest Point Matching for Real-Time Applications

Fast collision detection methods for joint surfaces