Occlusion Aware Fragment-Based Tracking with Spatial Temporal Consistency Occlusion Aware Fragment-Based Tracking with Spatial-Temporal Consistency is a project report that highlights the importance of temporary consistency using this. The can…
Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph is a project report that highlights the necessity of this . New and tracking…
Sparse Representation Based Image Quality Index with Adaptive Sub-Dictionaries Sparse Representation Based Image Quality Index with Adaptive Sub-Dictionaries is a project report that emphasizes the importance of this technique. Distortions…
Super-Resolution of Dynamic Scenes Using Sampling Rate Diversity Super-Resolution of Dynamic Scenes Using Sampling Rate Diversity is a project report that focuses on the importance of this topic scenes. The…
Generalized Coupled Dictionary Learning Approach with Applications to Cross-modal Matching Generalized Coupled Dictionary Learning Approach with Applications to Cross-modal Matching is a project report that highlights the necessity of the…
Effective decompression of JPEG document images Effective decompression of JPEG document images is a project report that highlights the necessity of the decompression of the JPEG images. The JPEG images…
Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing is a project report that focuses on the…
Dimension Reduction with Extreme Learning Machine Dimension Reduction with Extreme Learning Machine is a mini project report that highlights the importance of the reduction of the dimension using the extreme…
4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance 4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance is a project that highlights the necessity of…
Automatic Segmentation of MR Brain Images with a Convolutional Neural Network Automatic Segmentation of MR Brain Images with a Convolutional Neural Network is a project report that highlights the necessity…
