In this paper we look at the benefits to be gained in using gradient information to enhance the Progressive Probabilistic Hough Transform(PPHT). It is shown how using the angle in...
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
Shinji Fukui, Yuji Iwahori, Akira Iwata, Robert J....
The factorization method, which allows us to reconstruct the motion of the camera and shape of the object simultaneously from multiple images, provides high stability in numerical...
Orthogonal information present in the video signal associated with the audio helps in improving the accuracy of a speech recognition system. Audio-visual speech recognition involv...
Tanveer A. Faruquie, Abhik Majumdar, Nitendra Rajp...
Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, b...
In this paper, we propose an original approach for content-based video indexing and retrieval. It relies on the tracking of entities of interest and the analysis of their apparent...
Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In orde...
J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez...
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...