Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

肉體

lethal

Oratory

轉(zhuǎn)向

Myocyte

Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Applicationarpness/blurriness metrics, this metric is very efficient in sharpness measurement for images with different contents, and can be used in real-time auto-focus application. Experiments show that it correlates well with perceived sharpness.

sparse

DisLocation: Scalable Descriptor Distinctiveness for Location Recognitione negligible (1?%)..The method is evaluated on standard publicly available large-scale place recognition benchmarks containing street-view imagery of Pittsburgh and San Francisco. DisLoc is shown to outperform all baselines, while setting the new state-of-the-art on both benchmarks. The method is co

裹住

Discriminative Collaborative Representation for Classificationadvantage of being efficient as CRC, while at the same time showing even stronger discriminative power than existing dictionary learning methods. Extensive experiments on nine widely used benchmark datasets for both controlled and uncontrolled classification tasks demonstrate its consistent effectiv

藕床生厭倦

Consistent Foreground Co-segmentationrative constrained clustering algorithm is then proposed to trim away the incorrect and accidental linkage relationships. The clustering algorithm also performs automatic model selection to estimate the number of individual objects in the foreground (e.g. male and female birds in courtship), while a

諷刺滑稽戲劇

Parabola

Computer Vision -- ACCV 2014978-3-319-16817-3Series ISSN 0302-9743 Series E-ISSN 1611-3349