Topics of interest
The topics of interest concern visual media content analysis (images, videos, 3D objects and digital libraries) in order to segment regions of interest and extract some characteristic features with adapted descriptors and models. These content based approaches aim to lead to a better understanding, representation and interpretation of this content. The research topics privileged are:
- image, video and 3D objects segmentation
- image and 3D objects compression with new functionalities such as scalability and interactivity
- image, video and 3D objects indexing and retrieval
- 3D shape recognition and identification
- 3D watermarking
Keywords
Image, video, 3D objects, multiresolution / scale space analysis, structure recognition, spatio-temporal models, segmentation, region of interest extraction and description, compression, indexing and retrieval, watermarking.
For more details on my current research activities, see the WEB sites of my Ph.D students:
Ph.D finished recently:
- Guillaume Lavoué : Surface compression based on subdivision schemes for low rate transmission and progressive visualisation
- Julien Ricard : 3D shape indexing and retrival applied to CAD shapes
- Nicolas Zlatoff : Image understanding: integrating both domain knowledge and Gestalt vision
- Cagatay Dikici : Informed Watermarking and compression of multi-sources
- Céline Roudet : Surface compression with goemetric wavelets
Current Ph.D students:
- Kaï Wang :Three-dimensional meshes watermarking based on mesh analysis
- David Caillière :Analysis and identification of 3D mesh objects using symmetrical characteristics
- Jérôme Revaud : Research on the recognition of 3D scene and environment. Application to real time implementation on mobile robot
- Anh Phuong Ta : 3D scene reconstruction from 2D storyboards
