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Semantic Image Understanding
Recognizing and classifying all the entities appearing in an image is a fundamental goal of computer vision, and constitutes a key element in the semantic understanding of images, videos and other multi-media resources. This macro-activity is concerned with the development of deep learning theory and practice to understand the image content. More images depicting the same objects can be used for a 3D reconstruction of the scene.
We conduct research on image classification and retrieval, object detection and localization, text extraction and pattern detection. In the industrial field, we are involved in several projects aiming at defect detection and classification on material or products. We develop innovative algorithms using deep learning as well as image analysis algorithms. Furthermore, we study algorithms to generate correspondences between images depicting the same object (or person), to provide a 3D understanding of that specific piece of world.