A Variable Window Approach to Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Summed-area tables for texture mapping
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
New Methods for Surface Reconstruction from Range Images
New Methods for Surface Reconstruction from Range Images
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2007 papers
A facial feature tracker for human-computer interaction based on 3D Time-Of-Flight cameras
International Journal of Intelligent Systems Technologies and Applications
Gesture recognition with a Time-Of-Flight camera
International Journal of Intelligent Systems Technologies and Applications
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
IEEE Transactions on Image Processing
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth video based human model reconstruction resolving self-occlusion
IEEE Transactions on Consumer Electronics
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
IEEE Transactions on Image Processing
High quality depth map upsampling for 3D-TOF cameras
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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In recent years, fusion camera systems that consist of color cameras and Time-of-Flight (TOF) depth sensors have been popularly used due to its depth sensing capability at real-time frame rates. However, captured depth maps are limited in low resolution compared to the corresponding color images due to physical limitation of the TOF depth sensor. Most approaches to enhancing the resolution of captured depth maps depend on the implicit assumption that when neighboring pixels in the color image have similar values, they are also similar in depth. Although many algorithms have been proposed, they still yield erroneous results, especially when region boundaries in the depth map and the color image are not aligned. We therefore propose a novel kernel regression framework to generate the high quality depth map. Our proposed filter is based on the vector pointing similar pixels that represents the unit vector toward similar neighbors in the local region. The vectors are used to detect misaligned regions between color edges and depth edges. Unlike conventional kernel regression methods, our method properly handles misaligned regions by introducing the numerical analysis of the local structure into the kernel regression framework. Experimental comparisons with other data fusion techniques prove the superiority of the proposed algorithm.