Digital Picture Processing
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Introduction to Parallel Computing
Introduction to Parallel Computing
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Iterative Kernel Principal Component Analysis for Image Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-preserving non-local denoising of static and time-varying range data
Proceedings of the 2007 ACM symposium on Solid and physical modeling
ACM SIGGRAPH 2007 papers
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2007 courses
Increasing depth lateral resolution based on sensor fusion
International Journal of Intelligent Systems Technologies and Applications
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Post-processing of scanned 3D surface data
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
Editorial: Special issue on Time-of-Flight camera based computer vision
Computer Vision and Image Understanding
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
Depth recovery using an adaptive color-guided auto-regressive model
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
A bayesian approach to uncertainty-based depth map super resolution
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Robust Bayesian fitting of 3D morphable model
Proceedings of the 10th European Conference on Visual Media Production
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We present an integrated method for post-processing of range data which removes outliers, smoothes the depth values and enhances the lateral resolution in order to achieve visually pleasing 3D models from low-cost depth sensors with additional (registered) color images. The algorithm is based on the non-local principle and adapts the original NL-Means formulation to the characteristics of typical depth data. Explicitly handling outliers in the sensor data, our denoising approach achieves unbiased reconstructions from error-prone input data. Taking intra-patch similarity into account, we reconstruct strong discontinuities without disturbing artifacts and preserve fine detail structures, obtaining piece-wise smooth depth maps. Furthermore, we exploit the dependencies of the depth data with additionally available color information and increase the lateral resolution of the depth maps. We finally discuss how to parallelize the algorithm in order to achieve fast processing times that are adequate for post-processing of data from fast depth sensors such as time-of-flight cameras.