Intro
Preface
Organization
Contents
Part III
3D Computer Vision
Efficient Depth-Included Residual Refinement Network for RGB-D Saliency Detection
1 Introduction
2 Related Work
2.1 RGB Salient Object Detection
2.2 RGB-D Salient Object Detection
3 The Proposed Network
3.1 Architecture Overview
3.2 Depth Correction Module
3.3 Multi-scales Localization Module
3.4 Residual Refinement Module
4 Experiments
4.1 Experimental Setup
4.2 Compared with the State-of-the-arts
4.3 Ablation Study
5 Conclusion
References

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network
1 Introduction
2 Related Works
2.1 2D Feature Descriptors
2.2 3D Feature Descriptors
2.3 Deep Similarity Learning Networks
2.4 2D-3D Cross-Domain Feature Descriptors
3 Methodology
3.1 Network Architecture
3.2 Spatial Transformer Network
3.3 Hard Triplet Loss
4 Experiments
4.1 Dataset
4.2 2D-3D Retrieval Task
4.3 3D Global Registration
4.4 Ablation Study
5 Conclusion
References

A Stereo Matching Method for Three-Dimensional Eye Localization of Autostereoscopic Display
1 Introduction
2 Autostereoscopic Display and Eye Localization
3 Stereo Matching and 3D Localization
3.1 The Principle of Binocular Stereo Vision
3.2 Image Matching Algorithm
4 An Eye Stereo Matching Algorithm Based on ZNCC
4.1 Algorithm Overview
4.2 Improvement Based on the Operation Logic of Matching Algorithm
4.3 Optimization Based on the Application Scenarios of Stereoscopic Display
5 Experiment and Discussion
6 Conclusion
References

Scaling Invariant Harmonic Wave Kernel Signature for 3D Point Cloud Similarity
1 Introduction
2 Related Works
2.1 Contribution
3 Fundamentals and Pipeline
3.1 3D Point Cloud Laplace-Beltrami Operator
3.2 Pipeline
4 Scaling Invariant Harmonic Wave Kernel Signature
4.1 Wave Kernel Signature
4.2 Scaling Invariant Harmonic Wave Kernel Signature
4.3 Invariance of the Harmonic Wave Kernel Signature
4.4 3D Point Cloud Models Similarity Measure
5 Experiments
5.1 Effectiveness of the SIHWKS
5.2 Robutness of the SIHWKS and Similarity Results
6 Conclusion