Depth-image based full 3D modeling using trilinear interpolation and distance transform
Proceedings of the 2005 international conference on Augmented tele-existence
IEICE - Transactions on Information and Systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Haptic interaction with 2D images
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Client system for realistic broadcasting: a first prototype
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
3D human modeling from a single depth image dealing with self-occlusion
Multimedia Tools and Applications
Noise modelling and uncertainty propagation for TOF sensors
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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We present a depth video enhancement algorithm in order to provide high quality haptic interaction. As the telecommunication technology emerges rapidly, the depth image-based haptic interaction is becoming viable for broadcasting applications. Since a real depth map usually contains discrete and rugged noise, its haptic interaction produces the distorted force feedback. To resolve these problems, we propose a two-step refinement and adaptive sampling algorithm. In the first step, noise is removed by the median-filtering technique in 2D image space. Since not all pixels can be used to reconstruct the 3D mesh due to limited system resources, the filtered map is adaptively sampled based on the depth variation. Sampled 2D pixels, called feature points, are triangulated and projected onto 3D space. In the second refinement step, we apply the Gaussian smoothing technique to the reconstructed 3D surface. Finally, 3D surfaces are rendered to compute a smooth depth map from Z-buffer.