![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images
Feature-based object matching is a fundamental problem for many applications in computer vision, such as object recognition, 3D reconstruction, tracking, and motion segmentation. In this work, we consider simu...
-
Article
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition
This paper presents a regularized patch-based representation for single sample per person face recognition. We represent each image by a collection of patches and seek their sparse representations under the ga...
-
Chapter and Conference Paper
Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition
We investigate the problem of finding the correspondence from multiple images, which is a challenging combinatorial problem. In this work, we propose a robust solution by exploiting the priors that the rank of...
-
Chapter and Conference Paper
Towards Optimal Design of Time and Color Multiplexing Codes
Multiplexed illumination has been proved to be valuable and beneficial, in terms of noise reduction, in wide applications of computer vision and graphics, provided that the limitations of photon noise and satu...