SIMPG (Signal and IMage Processing Group) is a multidisciplinary group conducting research primarily on image processing, video coding, source seperation, compressive sensing, watermarking, security, face processing and biometry. Since its inception in 1993, it has graduated more than twenty PhDs and close to a hundred MSc students.
Research Fields
Face Processing
Automatic processing of human faces for man-machine interfaces; face detection in cluttered scenes; facial action coding system and action units; face landmarking; emotion understanding from 2D/3D face images; recognition of head and face gestures; joint gender, age and affect recognition.
Source Separation
Bayesian source separation for functional optical imaging of brain activities; source separation fort the extraction of cosmic microwave background; source separation applications for the detection of defects in textiles and for earthquake triggering intensity prediction.
3D Shape
3D Shape descriptors; 3D object indexing and content based retrieval; subspace based methods for shape classification; 3D object retrieval with relevance feedback; 3D object recognition from partial observations.
Watermarking and Steganalysis
Semi-fragile watermarking; Text watermarking; watermarking for medical images; steganalysis of audio and image sources; detection of tampering of information sources; perceptual hashing algorithms; video hashing; blind identification of source devices.
Sparse Representation and Compressive Sensing
Reconstruction of sparse signal from non-adaptive measurements; Sparse dictionary learning; watermarking in sparseland
Action Recognition
Human Action recognition from video data