Publications associées à Correspondence problem

Dictionary learning for fast classification based on soft-thresholding

Classifiers based on sparse representations have recently been shown to provide excellent results in many visual recognition and classification tasks. However, the high cost of computing sparse representations at test time is a major obstacle that limits t ...

Springer2015

Coupled Structure-from-Motion and 3D Symmetry Detection for Urban Facades

Mark Pauly, Duygu Ceylan

Repeated structures are ubiquitous in urban facades. Such repetitions lead to ambiguity in establishing correspondences across sets of unordered images. A decoupled structure-from-motion reconstruction followed by symmetry detection often produces errors: ...

Association for Computing Machinery2014

Sample Distillation for Object Detection and Image Classification

François Fleuret, Olivier Canévet, Leonidas Lefakis

We propose a novel approach to efficiently select informative samples for large-scale learning. Instead of directly feeding a learning algorithm with a very large amount of samples, as it is usually done to reach state-of-the-art performance, we have devel ...

2014

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Pascal Fua

Recovering the 3D shape of deformable surfaces from single images is known to be a highly ambiguous problem because many different shapes may have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear comb ...

Institute of Electrical and Electronics Engineers2013

Sparse Iterative Closest Point

Mark Pauly, Sofien Bouaziz, Andrea Tagliasacchi

Rigid registration of two geometric data sets is essential in many applications, including robot navigation, surface reconstruction, and shape matching. Most commonly, variants of the Iterative Closest Point (ICP) algorithm are employed for this task. Thes ...

Wiley-Blackwell2013

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Pierre Vandergheynst, Mahdad Hosseini Kamal

The effective representation of the structures in the multiview images is an important problem that arises in visual sensor networks. This paper presents a novel recovery scheme from compressive samples which exploit local and non-local correlated structur ...

Ieee2013

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Pierre Vandergheynst, Mahdad Hosseini Kamal

2013

An MAS Negotiation Support Tool for Schema Matching

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Hoai Xuan Luong

Database schema matching is the process of establishing correspondences between attributes of schemas for data integration purpose. Though various commercial tools have been developed, their results are inherently uncertain. In practice, to obtain correct ...

2013

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Correspondence problem

Dictionary learning for fast classification based on soft-thresholding

2-Point-based Outlier Rejection for Camera-IMU Systems with applications to Micro Aerial Vehicles

Efficient Sample Mining for Object Detection

Coupled Structure-from-Motion and 3D Symmetry Detection for Urban Facades

Sample Distillation for Object Detection and Image Classification

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Sparse Iterative Closest Point

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

An MAS Negotiation Support Tool for Schema Matching

Graph Chatbot

Chattez avec Graph Search

2-Point-based Outlier Rejection for Camera-IMU Systems with applications to Micro Aerial Vehicles

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Coupled Structure-from-Motion and 3D Symmetry Detection for Urban Facades

Sample Distillation for Object Detection and Image Classification

An MAS Negotiation Support Tool for Schema Matching

Dictionary learning for fast classification based on soft-thresholding

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Efficient Sample Mining for Object Detection

Sparse Iterative Closest Point