Nezha Kabbaj

Title: Nezha Kabbaj: Innovator in Image Classification and Object Shape Determination

Introduction

Nezha Kabbaj is a prominent inventor based in Rennes, France. She has made significant contributions to the field of image processing and classification. With a focus on developing methods and devices for classifying objects in images, her work has garnered attention in the tech community.

Latest Patents

Nezha Kabbaj holds 2 patents that showcase her innovative approach to image classification. Her latest patents include a "Method and device for classifying an object of an image and corresponding computer program product and computer-readable medium." This patent describes a method for classifying an object in a current image by associating a plurality of landmarks with the object. The method involves obtaining descriptors that describe areas of the image and using these descriptors in a classifier to determine the shape of the object. Another patent, titled "Method and device for determining the shape of an object represented in an image, corresponding computer program product and computer-readable medium," focuses on determining the shape of an object by analyzing features from landmarks in the image. This method employs multivariate regression to estimate the pose of the object.

Career Highlights

Nezha Kabbaj is currently employed at Thomson Licensing, where she continues to push the boundaries of technology in image processing. Her work has been instrumental in advancing the capabilities of image classification systems.

Collaborations

Throughout her career, Nezha has collaborated with notable colleagues, including Xavier Burgos and Francois Le Clerc. These collaborations have contributed to the development of innovative solutions in her field.

Conclusion

Nezha Kabbaj is a trailblazer in the realm of image classification and object shape determination. Her patents and contributions to Thomson Licensing highlight her commitment to innovation and excellence in technology.