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1 Introduction2 Literature Review; 3 Methodology; 3.1 Using Logo Detection; 3.2 Without Using Logo Detection; 4 Experimental Setup and Results; 4.1 Dataset; 4.2 Results; 5 Conclusion; References; Unsupervised Text Binarization in Handwritten Historical Documents Using k-Means Clustering; 1 Introduction; 2 Proposed Method; 2.1 Contrast Enhancement and Noise Removal Method; 2.2 Normalization; 2.3 Unsupervised Based Document Image Binarization; 3 Experimental Results; 3.1 Quantitative Results; 4 Conclusion; References; Feature Fusion for Facial Landmark Point Location; Abstract; 1 Introduction
2 SIFT3 LBP; 4 Gabor Wavelets; 5 Fusion of Features; 5.1 Performance of Regressor Using Single Feature; 5.2 Performance of Regressor Using Fusion of Features; 6 Conclusions; References; Fast Graph-Based Object Segmentation for RGB-D Images; 1 Introduction; 2 Background; 3 Enhanched Segmentation; 3.1 Color; 3.2 Depth; 3.3 Saliency; 3.4 Removing Texture Edges; 3.5 Weight Function; 3.6 Post-processing; 4 Experimental Results; 4.1 Rutgers APC RGB-D Dataset; 4.2 RGB-D Scenes Dataset; 4.3 Multiple-Instance Dataset; 5 Conclusion; References
Image Splicing Detection Using Electromagnetism-Like Based DescriptorAbstract; 1 Introduction; 2 EMag; 3 Dimension Reduction Method; 4 Experimental Results; 4.1 Classifier; 4.2 Classification; 4.3 Comparison with Other Methods; 5 Conclusion; References; Enhanced Object Segmentation for Vehicle Tracking and Dental CBCT by Neuromorphic Visual Processing with Controlled Neuron; Abstract; 1 Introduction; 2 Brain-Inspired Neuromorphic Vision of Robust Object Detection; 2.1 Object Detection in Real Life Environment; 2.2 Tooth Segmentation
3 Robust Object Segmentation by Controlled Rectifier Neurons3.1 Vehicle Object Segmentation for Tracking at Night; 3.2 Enhancement of CBCT Image for Tooth Segmentation; 4 Conclusion; Acknowledgment; References; A Robust, Real-Time Capable Framework for Fully Automated Order Picking of Pouch-Parceled Goods; 1 Introduction; 2 Related Approaches; 3 Cover Belt Conveyor System; 4 Marker Detection Framework; 4.1 Marker Designs; 4.2 Velocity Estimation; 4.3 Parallel Windowed Time Series Analysis; 4.4 Feature-Based Classification; 5 Cutting Line Detection; 6 Experimental Results; 6.1 Test Setup
2 SIFT3 LBP; 4 Gabor Wavelets; 5 Fusion of Features; 5.1 Performance of Regressor Using Single Feature; 5.2 Performance of Regressor Using Fusion of Features; 6 Conclusions; References; Fast Graph-Based Object Segmentation for RGB-D Images; 1 Introduction; 2 Background; 3 Enhanched Segmentation; 3.1 Color; 3.2 Depth; 3.3 Saliency; 3.4 Removing Texture Edges; 3.5 Weight Function; 3.6 Post-processing; 4 Experimental Results; 4.1 Rutgers APC RGB-D Dataset; 4.2 RGB-D Scenes Dataset; 4.3 Multiple-Instance Dataset; 5 Conclusion; References
Image Splicing Detection Using Electromagnetism-Like Based DescriptorAbstract; 1 Introduction; 2 EMag; 3 Dimension Reduction Method; 4 Experimental Results; 4.1 Classifier; 4.2 Classification; 4.3 Comparison with Other Methods; 5 Conclusion; References; Enhanced Object Segmentation for Vehicle Tracking and Dental CBCT by Neuromorphic Visual Processing with Controlled Neuron; Abstract; 1 Introduction; 2 Brain-Inspired Neuromorphic Vision of Robust Object Detection; 2.1 Object Detection in Real Life Environment; 2.2 Tooth Segmentation
3 Robust Object Segmentation by Controlled Rectifier Neurons3.1 Vehicle Object Segmentation for Tracking at Night; 3.2 Enhancement of CBCT Image for Tooth Segmentation; 4 Conclusion; Acknowledgment; References; A Robust, Real-Time Capable Framework for Fully Automated Order Picking of Pouch-Parceled Goods; 1 Introduction; 2 Related Approaches; 3 Cover Belt Conveyor System; 4 Marker Detection Framework; 4.1 Marker Designs; 4.2 Velocity Estimation; 4.3 Parallel Windowed Time Series Analysis; 4.4 Feature-Based Classification; 5 Cutting Line Detection; 6 Experimental Results; 6.1 Test Setup