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Now showing items 11-20 of 25
A Spatio-Temporal Descriptor for Dynamic 3D Facial Expression Retrieval and Recognition
(The Eurographics Association, 2015)
The recent availability of dynamic 3D facial scans has spawned research activity in recognition based on such data. However, the problem of facial expression retrieval based on dynamic 3D facial data has hardly been addressed ...
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 ...
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
(The Eurographics Association, 2017)
Hand gesture recognition is recently becoming one of the most attractive field of research in pattern recognition. The objective of this track is to evaluate the performance of recent recognition approaches using a challenging ...
Geometric Histograms of 3D Keypoints for Face Identification with Missing Parts
(The Eurographics Association, 2013)
In this work, an original solution to 3D face identification is proposed, which supports recognition also in the case of probes with missing parts. Distinguishing traits of the face are captured by first extracting 3D ...
Quantitative Comparison of Hole Filling Methods for 3D Object Search
(The Eurographics Association, 2014)
Retrieval of 3D models has become an important issue due to the increase in the number of digitized objects that are available in many different fields. When stored data present defects such as holes, accurate and reliable ...
GeoTopo: Dynamic 3D Facial Expression Retrieval Using Topological and Geometric Information
(The Eurographics Association, 2014)
Recently, a lot of research has been dedicated to address the problem of facial expression recognition in dynamic sequences of 3D face scans. On the contrary, no research has been conducted on facial expression retrieval ...
LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition
(The Eurographics Association, 2017)
With the rapid growth of 3D data, accurate and efficient 3D object recognition becomes a major problem. Machine learning methods have achieved the state-of-the-art performance in the area, especially for deep convolutional ...
Semantic Correspondence Across 3D Models for Example-based Modeling
(The Eurographics Association, 2017)
Modeling 3D shapes is a specialized skill not affordable to most novice artists due to its complexity and tediousness. At the same time, databases of complex models ready for use are becoming widespread, and can help the ...
Local Signature Quantization by Sparse Coding
(The Eurographics Association, 2013)
In 3D object retrieval it is very important to define reliable shape descriptors, which compactly characterize geometric properties of the underlying surface. To this aim two main approaches are considered: global, and ...
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 ...