Location History:
- Jamaica Plain, MA (US) (2001 - 2002)
- Somerville, MA (US) (2002)
Company Filing History:
Years Active: 2001-2002
Title: The Innovative Mind of Egon C Pasztor
Introduction
Egon C Pasztor is a notable inventor based in Somerville, MA (US). He has made significant contributions to the field of image processing and scene inference, holding a total of 3 patents. His work has advanced the understanding of how to infer scenes from images using sophisticated statistical methods.
Latest Patents
One of his latest patents is titled "Method for inferring scenes from test images and training data using probability propagation in a Markov network." This method infers a scene from a test image by acquiring a plurality of images and corresponding scenes during a training phase. Each image and scene is partitioned into patches, represented as vectors, and modeled as a network. During the inference phase, the test image is processed to locate candidate scene vectors, and probabilities are propagated in the network until convergence is achieved.
Another significant patent is "Estimating targets using statistical properties of observations of known targets." This method generates multiple scenes and renders images for each. The scenes and images are partitioned into patches, which are quantized as vectors. A probability density function is fitted to each vector, and the patches are organized in a Markov network to estimate the scene through local probability propagation.
Career Highlights
Egon has worked with Mitsubishi Electric Research Laboratories, Inc., where he applied his expertise in image processing and statistical modeling. His innovative approaches have contributed to advancements in technology and research in his field.
Collaborations
Egon has collaborated with notable individuals such as William T Freeman and Baback Moghaddam. Their combined efforts have furthered research and development in image processing techniques.
Conclusion
Egon C Pasztor is a distinguished inventor whose work in image processing and scene inference has led to valuable patents and collaborations. His innovative methods continue to influence the field and inspire future advancements.