Sentence examples for performance on face from inspiring English sources

Sparse representation based classification shows significant performance on face recognition (FR) when there are enough available training samples per subject.

Sparse representation based classification (SRC) has been shown to be an effective method and produce impressive performance on face recognition.

Unfortunately, the planarity assumption underlying the theory of SIFT features and the highly non-planar and self-occluding nature of faces result in weak performance on face recognition tasks.

Motivated by the DeepID [33] and GoogLeNet [25], in this paper, we propose a carefully designed deep CNN model which shows impressive performance on face recognition under noise compared with some other state-of-the-art noise-resistant approaches.

This proposal is consistent with two recent studies with large samples of typically developing adult twins that have found evidence for a genetic factor underlying face recognition where performance on face recognition tests were correlated more closely in monozygotic than dizygotic twin pairs [25] [26].

Measures of white matter (WM) integrity of the inferior longitudinal fasciculus (ILF) and fornix were selectively correlated with performance on face and scene perception tasks, respectively.

The paper by J. Uglov et al. addresses the impact of noisy facial images on the performance of face recognition system.

They also eliminate the pressure to measure performance based on face time.

We measured the performance of face registration by its effect on face recognition.

In this paper, we show that a simple system designed by emulating biological strategies of human visual system can largely surpass the state-of-the-art performance on uncontrolled face recognition.

Individually, the ZM and LBP/LTP descriptors are observed to be very effective in providing good recognition performance on the face images containing certain variations.