Prof. Zhicheng Cao Profile

Prof. Zhicheng Cao

Assistant Professor at Xidian University

SPIE Involvement:

Author

Area of Expertise:

Biometrics , Machine Learning , Computer Vision , Pattern Recogntion , Image Processing , Biomedical Engineering

Websites:

Personal Website

Dr.Zhicheng Cao is an Assistant Professor at the Dept. of Biomedical Engineering, Xidian University, China. He holds a Ph.D. in Electrical Engineering from West Virginia University (USA). He received a B.S. and a M.S. in Biomedical Engineering from Xi’an Jiaotong University, China. His research interests include biometrics, pattern recognition, computer vision and image processing with focus on cross-spectral recognition of face, periocular regions and partial face. He is a member of IEEE and SPIE. He serves as a committee member/organizer for several international academic journals and conferences such as American Journal of Artificial Intelligence, IJRES, CCBR, and has been a reviewer of several academic journals, such as Neurocomputing, Machine Vision and Applications, Optical Engineering. He is a member of IEEE、SPIE.

Proceedings Article | 13 March 2024 Poster + Paper

Deep learning-based patient in-position detection for acupuncture treatment

Pu Zhao, Liaojun Pang, Shufen Cao, Zhicheng Cao

Proceedings Volume 12857, 128570R (2024) https://doi.org/10.1117/12.3023364

KEYWORDS: Object detection, Head, Data modeling, Performance modeling, Neck, Medicine, Evolutionary algorithms, Data acquisition, Cameras, Deep learning

Read Abstract +

Proceedings Article | 27 May 2022 Presentation + Paper

A successive approach to enhancement of infrared facial images

Zhicheng Cao, Yuchao Zhong, Lanxin Gaotang, Heng Zhao, Liaojun Pang

Proceedings Volume 12107, 121071Q (2022) https://doi.org/10.1117/12.2620014

KEYWORDS: Infrared imaging, Denoising, Facial recognition systems, Convolution, Image processing, Point spread functions, Deconvolution, Infrared radiation

Read Abstract +

Proceedings Article | 27 May 2022 Presentation + Paper

Improving face recognition by pose-aware quality assessment and judgement

Zhicheng Cao, Liyi Shi, Hua Ju, Li Yang, Liaojun Pang

Proceedings Volume 12101, 121010I (2022) https://doi.org/10.1117/12.2623001

KEYWORDS: Facial recognition systems, Head, Detection and tracking algorithms, Convolutional neural networks, Image processing, Algorithm development, Machine vision

Read Abstract +

Proceedings Article | 2 August 2021 Presentation + Paper

Improving nighttime periocular recognition performance by image superresolution

Zhicheng Cao, Xing Chen, Shufen Cao, Liaojun Pang

Proceedings Volume 11843, 118430L (2021) https://doi.org/10.1117/12.2598442

KEYWORDS: Super resolution, Image quality, Infrared imaging, Visible radiation, Near infrared, Image resolution, Principal component analysis, Iris recognition, Facial recognition systems, Neural networks

Read Abstract +

Proceedings Article | 2 August 2021 Presentation + Paper

Face detection in the darkness using infrared imaging: a deep-learning-based study

Zhicheng Cao, Heng Zhao, Shufen Cao, Liaojun Pang

Proceedings Volume 11843, 118430K (2021) https://doi.org/10.1117/12.2597194

KEYWORDS: Facial recognition systems, Infrared imaging, Infrared detectors, Thermography, Performance modeling, Sensors, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 14 May 2019 Presentation + Paper

Cross-spectral face recognition with image quality disparity using image fusion

Zhicheng Cao, Yuanming Zhao, Heng Zhao, Xuan Xu, Liaojun Pang

Proceedings Volume 10988, 1098811 (2019) https://doi.org/10.1117/12.2515606

KEYWORDS: Image fusion, Image quality, Short wave infrared radiation, Infrared imaging, Near infrared, Wavelets, Image processing, Visible radiation, Facial recognition systems, Wavelet transforms

Read Abstract +

Proceedings Article | 14 May 2019 Presentation + Paper

Research on image processing and intelligent recognition of space debris

Linghua Guo, Haopeng Zhang, Hua Zhai, Cheng Gong, Bin Song, Shoufeng Tong, Zhicheng Cao, Xuan Xu

Proceedings Volume 10988, 1098817 (2019) https://doi.org/10.1117/12.2525058

KEYWORDS: Image processing, Image enhancement, Digital filtering, Image filtering, Signal to noise ratio, Gaussian filters, Space operations, Sun, Denoising, Image quality

Read Abstract +

Proceedings Article | 14 May 2019 Presentation + Paper

Nighttime periocular recognition at long standoffs with deep learned features

Zhicheng Cao, Yuanming Zhao, Heng Zhao, Weiqiang Zhao, Xuan Xu, Liaojun Pang

Proceedings Volume 10988, 1098813 (2019) https://doi.org/10.1117/12.2521187

KEYWORDS: Near infrared, Infrared imaging, Principal component analysis, Visible radiation, Infrared radiation, Neural networks, Facial recognition systems, Surveillance, Iris recognition, Convolutional neural networks

Read Abstract +

Proceedings Article | 1 May 2017 Presentation + Paper

Heterogeneous sharpness for cross-spectral face recognition

Zhicheng Cao, Natalia Schmid

Proceedings Volume 10202, 102020Q (2017) https://doi.org/10.1117/12.2261984

KEYWORDS: Short wave infrared radiation, Near infrared, Biometrics, Image quality, Facial recognition systems, Infrared imaging, Infrared radiation, Neural networks, Quality measurement, Image processing, Algorithm development

Read Abstract +

Matching images acquired in different electromagnetic bands remains a challenging problem. An example of this type of comparison is matching active or passive infrared (IR) against a gallery of visible face images, known as cross-spectral face recognition. Among many unsolved issues is the one of quality disparity of the heterogeneous images. Images acquired in different spectral bands are of unequal image quality due to distinct imaging mechanism, standoff distances, or imaging environment, etc. To reduce the effect of quality disparity on the recognition performance, one can manipulate images to either improve the quality of poor-quality images or to degrade the high-quality images to the level of the quality of their heterogeneous counterparts. To estimate the level of discrepancy in quality of two heterogeneous images a quality metric such as image sharpness is needed. It provides a guidance in how much quality improvement or degradation is appropriate. In this work we consider sharpness as a relative measure of heterogeneous image quality. We propose a generalized definition of sharpness by first achieving image quality parity and then finding and building a relationship between the image quality of two heterogeneous images. Therefore, the new sharpness metric is named heterogeneous sharpness. Image quality parity is achieved by experimentally finding the optimal cross-spectral face recognition performance where quality of the heterogeneous images is varied using a Gaussian smoothing function with different standard deviation. This relationship is established using two models; one of them involves a regression model and the other involves a neural network. To train, test and validate the model, we use composite operators developed in our lab to extract features from heterogeneous face images and use the sharpness metric to evaluate the face image quality within each band. Images from three different spectral bands visible light, near infrared, and short-wave infrared are considered in this work. Both error of a regression model and validation error of a neural network are analyzed.

SPIE Journal Paper | 19 August 2016

Composite multilobe descriptors for cross-spectral recognition of full and partial face

Zhicheng Cao, Natalia Schmid, Thirimachos Bourlai

OE, Vol. 55, Issue 08, 083107, (August 2016) https://doi.org/10.1117/12.10.1117/1.OE.55.8.083107

KEYWORDS: Visible radiation, Short wave infrared radiation, Composites, Near infrared, Infrared imaging, Eye, Facial recognition systems, Mid-IR, Long wavelength infrared, Computer programming

Read Abstract +

Proceedings Article | 12 May 2016 Paper

Image disparity in cross-spectral face recognition: mitigating camera and atmospheric effects

Zhicheng Cao, Natalia Schmid, Xin Li

Proceedings Volume 9844, 98440Z (2016) https://doi.org/10.1117/12.2225149

KEYWORDS: Infrared imaging, Image quality, Visible radiation, Facial recognition systems, Cameras, Quality measurement, Denoising, Short wave infrared radiation, Near infrared, Image enhancement

Read Abstract +

Proceedings Article | 22 May 2015 Paper

Distributed estimation of a parametric field with random sensor placements

Marwan Alkhweldi, Zhicheng Cao, Natalia Schmid

Proceedings Volume 9476, 94760R (2015) https://doi.org/10.1117/12.2177277

KEYWORDS: Sensors, Sensor networks, Signal processing, Error analysis, Interference (communication), Signal to noise ratio, Sensor performance, Numerical analysis, Algorithm development, Signal generators

Read Abstract +

Proceedings Article | 22 May 2015 Paper

Composite multi-lobe descriptor for cross spectral face recognition: matching active IR to visible light images

Zhicheng Cao, Natalia Schmid

Proceedings Volume 9476, 94760T (2015) https://doi.org/10.1117/12.2176462

KEYWORDS: Near infrared, Short wave infrared radiation, Visible radiation, Infrared imaging, Feature extraction, Composites, Facial recognition systems, Thermography, Computer programming, Infrared radiation

Read Abstract +

Showing 5 of 13 publications

Course Instructor

NON-SPIE: Instructor

Introduction to Biometrics and Encryption

Expand Description +

NON-SPIE: Instructor

Linear Algebra

Expand Description +

NON-SPIE: Instructor

Modern Elctronic Measurement

Expand Description +

Keywords/Phrases

Search In:

Publication Years