Call for Papers
AIPR conference is intended to foster the dissemination of state-of-the-art research in the area of Artificial Intelligence & Pattern Recognition and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to :
| Computer Vision and Robot Vision | Image, Speech, Signal and Video Processing |
|---|---|
| Vision sensors Biologically motivated vision Illumination and reflectance modeling Image based modeling Physics-based vision Shape modeling and encoding Computational photography 3D shape recovery Motion, tracking and video analysis 3D sensors: depth sensors, ToF, Kinect 2D/3D object detection and recognition Scene understanding Occlusion and shadow detection Stereo and multiple view geometry Reconstruction and camera motion estimation Vision for graphics Vision for robotics Humanoid vision Representation and analysis in pixel/voxel images |
Image and video analysis and
understanding Sensor array & multichannel signal processing Segmentation, features and descriptors Texture and color analysis Enhancement, restoration and filtering Coding, compression and super-resolution Facial expression recognition Human body motion and gesture based interaction Multimedia analysis, indexing and retrieval Depth & range sensor data processing and analysis |
| Document Analysis, Biometrics and Pattern Recognition Applications | Biomedical Image Analysis and Applications |
| Character and Text Recognition Handwriting Recognition Graphics Recognition Document Understanding Gesture and Behavior Analysis Mixed and Augmented Reality Face, fingerprint and iris recognition Other biometrics (gait, soft, speaker, periocular, etc.) Novel biometrics Biometric systems and applications Multi-biometrics Forensic biometrics and applications Search, Retrieval and Visualization Industrial image analysis Pattern and digital evidence Applications of pattern recognition to big data |
Medical image and signal
analysis Biological image and signal analysis Computer-aided detection and diagnosis Image guidance and robot guidance of interventions Content based image retrieval and data mining Medical and biological imaging Segmentation of biomedical images Molecular and cellular image analysis Volumetric image analysis Deformable object tracking and registration Computational anatomy and digital human VR/AR in medical education, diagnosis and surgery Imaging and hardware for health care Deep learning for biomedical image analysis |