Company Filing History:
Years Active: 2017-2020
Title: The Innovations of Edmond Chalom
Introduction
Edmond Chalom is a notable inventor based in Petach Tikvah, Israel. He has made significant contributions to the field of technology, particularly in the area of eye contact correction using advanced machine learning techniques. With a total of 4 patents to his name, Chalom continues to push the boundaries of innovation.
Latest Patents
Chalom's latest patents focus on real-time eye contact correction. One of his patents discusses techniques related to eye contact correction that provide a virtual user gaze aligned with a camera while the user views a display. This involves determining and reducing histogram of oriented gradient features for an eye region of a source image to create a feature set. The process includes applying a pretrained classifier to the feature set to determine a motion vector field for the eye region, followed by warping and inserting the eye region into the source image to generate an eye contact corrected image.
Another patent by Chalom also addresses eye contact correction in real time, utilizing neural network-based machine learning. This technique encodes an eye region of a source image using a pretrained neural network to generate compressed features. Similar to his previous work, it applies a pretrained classifier to the features to determine a motion vector field for the eye region, ultimately warping and inserting the eye region into the source image to create an eye contact corrected image.
Career Highlights
Chalom is currently employed at Intel Corporation, where he continues to innovate and develop new technologies. His work at Intel has allowed him to collaborate with other talented professionals in the field.
Collaborations
Some of Chalom's notable coworkers include Or Shimshi and Dmitry Rudoy. Their collaborative efforts contribute to the advancement of technology in eye contact correction and related fields.
Conclusion
Edmond Chalom's work in eye contact correction through machine learning exemplifies the innovative spirit of modern technology. His contributions are paving the way for future advancements in user interaction and display technology.
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