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In 1971, the first microprocessor produced in mass production had 2300 transistor and was able to compute 60'000 operations per second at 740 kHz. Nowadays, even a common gaming console uses a central unit including 243 millions of transistors running at 4 ...
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of such a point. We used a K-mean plus Nearest Neighbor classifier to validate our ...
The low-frequency wave propagation code LEMan has been parallelized. Due to large memory requirement but fast computation with the cold model, the parallelization is limited to a low number of processors. The specific block-tridiagonal structure of the mat ...
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This paper introduces a two-steps adaptive generalized Hough transform (GHT) for the detection of non-analytic objects undergoing weak affine transformations in images. The first step of our algorithm coarsely locates the region of interest with a GHT for ...
This paper presents an efficient approach to rotation discriminative template matching. A hierarchical search divided in three steps is proposed. First, gradient magnitude is compared to rapidly localise points with high probability of match. This result i ...
Many reliable distributed systems are consensus-based and typically operate under two modes: a fast normal mode in failure-free periods, and a slower recovery mode following failures. A lot of work has been devoted to optimizing the normal mode, but little ...
We present a general framework and an efficient algorithm for tracking relevant video structures. The structures to be tracked are implicitly defined by a Matching Pursuit procedure that extracts and ranks the most important image contours. Based on the ra ...
Compact or efficient representation for either images or image sequences is key operation to performing image and video processing tasks, such as compression, analysis, etc. The efficiency of an approximation is evaluated by the sparsity measure of the app ...
In this paper we address the problem of multi-object tracking in video sequences, with application to pedestrian tracking in a crowd. In this con- text, particle ¯lters provide a robust tracking framework under ambiguity conditions. The particle ¯lter tech ...
While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...
