OBJECT2D3D - Object (category) Detection, Localisation, Registration and Recognition
The goal of this project is to solve some of the most fundamental problems in computer vision - detection, localisation and recognition of real 3-D objects in 2-D (or lately 2.X-D) images. The main focus is set to general methods which are automatic and perform accurately and reliably in many application areas. Methods should tolerate normal distortions in images (e.g. projective transformation, illumination, occlusion and noise),
This project is mainly carried out using academic funding from several sources and the methods are developed gradually in PhD theses during the course of work.The current main objectives:
- Accurate detection and localisation of real near-rigid objects in 2-D gray level images (faces, license plates, etc.)
- Combinations of supervised local object descriptors (image features, object evidences) and spatial constellation models (local feature constellation search).
- FACEDETECT - Face Detection
The latest results of a very accurate object localisation will be presented in the ICCV2007 workshop!
|Joni Kämäräinen||WWW||Project leader, professor|
|Alexander Drobchenko||WWW||Post-graduate researcher|
|Jarmo Ilonen||WWW||Post-graduate researcher|
|Pekka Paalanen||WWW||Post-graduate researcher|
|Research groups working on general object detection and recognition|
|CalTech Vision Group (prof Perona)|
|Univ. Oxford - Robotics Group (Visual Geometry Group) (Prof Zisserman)|
|Princeton Vision Lab (prof Li)|
|Univ. British Columbia - Lab for Computational Intelligence (prof Lowe)|
|Cornell Univ. - Computer Vision Group (prof Huttenlocher)|
|Prof Li's group's 3D object category data set from ICCV2007|
Do not hesitate to to contact authors (e-mail, etc.) in order to retrieve copies or reprints of the following publications.