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Quadrilateral detection from polygon or segmentation masks

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In some applications we need to detect the quadrilateral objects in the image, for example detecting a document, an ID card, or anything whose the shape is quadrilateral. By using some techniques such as contour detection, edge detection, connected components etc. we can identifiy the object but it is not always a 4-edges polygon.

Deep learning basing on EM

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learning settings Training settings for object detection using CNN models. (a) is supervisedlearning which uses instance-level labels (red bounding boxes in the image). (b) isweakly-supervised learning where only image-level labels (”train”) are used. (c) is mix-supervised learning where both image-level labels (”train”) and instance-level labels(red bounding boxes) are used. (d) is semi-supervised learning where instance-levellabeled images and unlabeled images are used

fieldwork

publications

Clusters-based relevance feedback for CBIR

Nhu-Van Nguyen, Alain Boucher, Jean-Marc Ogier, Salvatore Tabbone
International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future, 2010:


ICDAR 2021 Competition on Historical Map Segmentation

Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král
IAPR International conference on document analysis and recognition, 2021:


talks