Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

背帶

aspersion

BLAND

,The Great Books Movement, 1920–1948,latent object class level whenever an “unexpected” target class label is returned by the labeler. We conduct experiments on two standard scene classification datasets to investigate the efficacy of the proposed approach. Our empirical results show the proposed adaptive multi-level active learning ap

善變

Intractable

Deblurring Face Images with Exemplars a maximum a posteriori (MAP) deblurring algorithm based on an exemplar dataset, without using the coarse-to-fine strategy or ad-hoc edge selections. Extensive evaluations against state-of-the-art methods demonstrate the effectiveness of the proposed algorithm for deblurring face images. We also sho

預(yù)測(cè)

Habituate

A Generative Model for the Joint Registration of Multiple Point Setsoints while the variances provide rich information about the quality of the registration. We thoroughly validate the proposed method with challenging datasets, we compare it with several state-of-the-art methods, and we show its potential for fusing real depth data.

Bricklayer

Pillory

cardiovascular

An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions