Search
Now showing items 1-5 of 5
Shape Retrieval of Low-Cost RGB-D Captures
(The Eurographics Association, 2016)
RGB-D cameras allow to capture digital representations of objects in an easy and inexpensive way. Such technology enables ordinary users to capture everyday object into digital 3D representations. In this context, we present ...
SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras
(The Eurographics Association, 2013)
The SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as the ones ...
Deformable Shape Retrieval with Missing Parts
(The Eurographics Association, 2017)
Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved ...
Retrieval of Objects Captured with Kinect One Camera
(The Eurographics Association, 2015)
Low-cost RGB-D sensing technology, such as the Microsoft Kinect, is gaining acceptance in the scientific community and even entering into our homes. This technology enables ordinary users to capture everyday object into ...
3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes
(The Eurographics Association, 2015)
In the near future, mobile devices will be able to measure the 3D geometry of an environment using integrated depth sensing technology. This technology will enable anyone to reconstruct a 3D model of their surroundings. ...