Browsing by Subject "I.2.10 [Artificial Intelligence]"
Now showing items 1-17 of 17
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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 ... -
Analysing Cinematography with Embedded Constrained Patterns
(The Eurographics Association, 2016)Cinematography carries messages on the plot, emotion, or more general feeling of the film. Yet cinematographic devices are often overlooked in existing approaches to film analysis. In this paper, we present Embedded ... -
Automatic 3D Posing from 2D Hand-Drawn Sketches
(The Eurographics Association, 2014)Inferring the 3D pose of a character from a drawing is a non-trivial and under-constrained problem. Solving it may help automate various parts of an animation production pipeline such as pre-visualisation. In this paper, ... -
Bag of Compact HKS-based Feature Descriptors
(The Eurographics Association, 2015)3D object retrieval has become an integral part in many today's applications attracting extensive research efforts. This paper introduces an enhanced 3D object retrieval technique using a compact and highly discriminative ... -
Comparison and Evaluation of Viewpoint Quality Estimation Algorithms for Immersive Virtual Environments
(The Eurographics Association, 2015)The knowledge of which places in a virtual environment are interesting or informative can be used to improve user interfaces and to create virtual tours. Viewpoint Quality Estimation algorithms approximate this information ... -
Exploring Material Recognition for Estimating Reflectance and Illumination From a Single Image
(The Eurographics Association, 2016)In this paper, we propose a novel approach for recovering illumination and reflectance from a single image. Our approach relies on the assumption that the surface geometry has already been reconstructed and a-priori knowledge ... -
Inferring the Structure of Action Movies
(The Eurographics Association, 2017)While important advances were recently made towards temporally localizing and recognizing specific human actions or activities in videos, efficient detection and classification of long video chunks belonging to ... -
Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal
(The Eurographics Association, 2014)We propose a reinforcement learning approach for an adaptive selection and application of 3D point cloud feature descriptors for the purpose of 3D object classification. The result of the learning process is an autonomously ... -
Learning Style Compatibility Between Objects in a Real-World 3D Asset Database
(The Eurographics Association and John Wiley & Sons Ltd., 2019)Large 3D asset databases are critical for designing virtual worlds, and using them effectively requires techniques for efficient querying and navigation. One important form of query is search by style compatibility: given ... -
Online Reconstruction of Textured Triangle Meshes from Aerial Images
(The Eurographics Association, 2013)In this paper we present and evaluate a new online reconstruction algorithm to create a textured triangle mesh from a set of aerial images via an unorganized point cloud. Both the point cloud and the mesh are iteratively ... -
Partial Shape Queries for 3D Object Retrieval
(The Eurographics Association, 2016)Despite numerous recent efforts, 3D object retrieval based on partial shape queries remains a challenging problem, far from being solved. The problem can be defined as: given a partial view of a shape as query, retrieve ... -
Point Clouds as an Efficient Multiscale Layered Spatial Representation
(The Eurographics Association, 2016)3D point clouds describe urban shape at different scales, precisions and resolutions depending on the underlying sensors and acquisition methodology. These factors influence the quality of the data, as well as its ... -
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 ... -
Semantizing Complex 3D Scenes using Constrained Attribute Grammars
(The Eurographics Association and Blackwell Publishing Ltd., 2013)We propose a new approach to automatically semantize complex objects in a 3D scene. For this, we define an expressive formalism combining the power of both attribute grammars and constraint. It offers a practical conceptual ... -
A Short Survey on Optical Material Recognition
(The Eurographics Association, 2015)The complexity of visual material appearance as observed in the huge variation in material appearance under different viewing and illumination conditions makes material recognition a highly challenging task. In the scope ... -
SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images
(The Eurographics Association, 2013)Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evaluate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale ... -
Using ECPs for Interactive Applications in Virtual Cinematography
(The Eurographics Association, 2017)This paper introduces an interactive application of our previous work on the Patterns language as creative assistant for editing cameras in 3D virtual environments. Patterns is a set of vocabulary, which was inspired by ...