Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ACM SIGGRAPH 2007 papers
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial and Temporal Enhancement of Depth Images Captured by a Time-of-Flight Depth Sensor
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Variational Framework for Exemplar-Based Image Inpainting
International Journal of Computer Vision
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
Proceedings of the 24th annual ACM symposium on User interface software and technology
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
International Journal of Robotics Research
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
Disocclusion: a variational approach using level lines
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Depth Video Enhancement Based on Weighted Mode Filtering
IEEE Transactions on Image Processing
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
RGB-(D) scene labeling: Features and algorithms
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
High quality depth map upsampling for 3D-TOF cameras
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Fine-grained kitchen activity recognition using RGB-D
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Structure guided fusion for depth map inpainting
Pattern Recognition Letters
Time-of-Flight Cameras: Principles, Methods and Applications
Time-of-Flight Cameras: Principles, Methods and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Range imaging sensors such as Kinect and time-of-flight cameras can produce aligned depth and color images in real time. However, the depth maps captured by such sensors contain numerous invalid regions and suffer from heavy noise. These defects more or less influence the use of depth information in practical applications. In order to enhance the depth maps, this paper proposes a new inpainting approach based on the fast marching method (FMM). We extend the inpainting model and the propagation strategy of FMM to incorporate color information for depth inpainting. An edge-preserving guided filter is further applied for noise reduction. To validate our algorithm, we perform experiments on both Kinect data and Middlebury dataset which, respectively, provide qualitative and quantitative results. Meanwhile, we also compare it to the original FMM and other two state-of-the-art depth enhancement methods. Experimental results show that our method performs better than the local methods in terms of both visual and metric qualities, and it achieves visually comparable results to the time-consuming global method.