A robust machine learning framework for diabetes prediction (2021)
Conference Proceeding
Olisah, C., Adeleye, O., Smith, L., & Smith, M. (2022). A robust machine learning framework for diabetes prediction. In Proceedings of the Future Technologies Conference (FTC) 2021 (775-792). https://doi.org/10.1007/978-3-030-89880-9_58

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia which results from the inadequacy of the body to secret and responds to insulin. If not properly managed or diagnosed on time, diabetes can pose a risk to vital body organs such... Read More about A robust machine learning framework for diabetes prediction.

Contactless robust 3D palm-print identification using photometric stereo (2021)
Conference Proceeding
Smith, L. N., Langhof, M. P., Hansen, M. F., & Smith, M. L. (2021). Contactless robust 3D palm-print identification using photometric stereo. https://doi.org/10.1117/12.2595439

Palmprints are of considerable interest as a reliable biometric, since they offer significant advantages, such as greater user acceptance than fingerprint or iris recognition. 2D systems can be spoofed by a photograph of a hand; however, 3D avoids th... Read More about Contactless robust 3D palm-print identification using photometric stereo.

Broad-leaf weed detection in pasture (2018)
Conference Proceeding
Zhang, W., Hansen, M. F., Volonakis, T. N., Smith, M., Smith, L., Wilson, J., …Wright, G. (2018). Broad-leaf weed detection in pasture.

Weed control in pasture is a challenging problem that can be expensive and environmentally unfriendly. This paper proposes a novel method for recognition of broad-leaf weeds in pasture such that precision weed control can be achieved with reduced her... Read More about Broad-leaf weed detection in pasture.

2D and 3D face analysis for ticketless rail travel (2018)
Conference Proceeding
Smith, L., Zhang, W., & Smith, M. L. (2018). 2D and 3D face analysis for ticketless rail travel. In Proceedings of the 2018 International Conference on Image Processing, Computer Vision, & Pattern Recognition. , (16-22)

Research is reported into the design, implementation and functionalities of a vision system that employs the human face as a biometric for enabling ticketless rail travel. The system has been developed to optimise performance in the relatively unstru... Read More about 2D and 3D face analysis for ticketless rail travel.

Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern (2017)
Conference Proceeding
Olisah, C. C., & Ogedebe, P. (2017). Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern. In 2016 Information Security for South Africa (ISSA) (114-120). https://doi.org/10.1109/issa.2016.7802937

For humans, every face is unique and can be recognized amongst similar faces. This is yet to be so for machines. Our assumption is that beneath the uncertain primitive visual features of face images are intrinsic structural patterns that uniquely dis... Read More about Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern.

Hierarchical rank-based veiling light estimation for underwater dehazing (2015)
Conference Proceeding
Emberton, S., Chittka, L., & Cavallaro, A. (2015). Hierarchical rank-based veiling light estimation for underwater dehazing. In X. Xie, M. W. Jones, & G. K. Tam (Eds.), Proceedings of the British Machine Vision Conference 2015 (125.1-125.12). https://doi.org/10.5244/C.29.125

Current dehazing approaches are often hindered when scenes contain bright objects which can cause veiling light and transmission estimation methods to fail. This paper introduces a single image dehazing approach for underwater images with novel veili... Read More about Hierarchical rank-based veiling light estimation for underwater dehazing.

Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction (2014)
Conference Proceeding
Olisah, C., Sulong, G., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction. In 2013 IEEE International Conference on Signal and Image Processing Applications (412-416). https://doi.org/10.1109/ICSIPA.2013.6708042

In this paper, an illumination normalization technique for edge-based face recognition on face images with non-uniform illumination conditions, is proposed. The proposed illumination normalization technique fuses the merits of color (Red, Green and B... Read More about Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction.

Edge-based representation and recognition for surgically altered face images (2014)
Conference Proceeding
Chude-Olisah, C. C., Sulong, G. B., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Edge-based representation and recognition for surgically altered face images. In 2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)https://doi.org/10.1109/icspcs.2013.6723974

Basically, plastic surgery procedure introduces skin texture variations between images of the same person (intra-face) thereby making recognition more difficult than in normal scenario. Since the shape of significant face features such as eyes, nose,... Read More about Edge-based representation and recognition for surgically altered face images.

High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation (2010)
Conference Proceeding
Wedowski, R., Farooq, A., Smith, L., & Smith, M. (2010). High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation. In W. Smari (Ed.), International Conference on High Performance Computing and Simulation (HPCS), 2010 (410-417). https://doi.org/10.1109/HPCS.2010.5547105

We propose a new high speed line tracing algorithm based on a well known differential geometric line extraction algorithm. The previously separate steps of line detection and line tracing are performed simultaneously. This allows the exclusion of non... Read More about High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation.