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All Outputs (28)

Predicting multiple-target search performance using eye movements and individual differences (2023)
Presentation / Conference
Birch-Hurst, K., Jones, A. M., Ong, A., Stoker, K. M., Smith, M. L., Zhang, W., & Clark, K. (2023, August). Predicting multiple-target search performance using eye movements and individual differences. Poster presented at European Conference on Visual Perception, Paphos, Cyprus

Accuracy in visual search – the process of detecting a target amongst distractors – is critical for life-saving career searches such as radiology and airport security. These searches often contain multiple targets (e.g., a tumour and a fracture) and... Read More about Predicting multiple-target search performance using eye movements and individual differences.

Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa (2022)
Presentation / Conference
Olisah, C., Smith, L. N., & Smith, M. L. (2022, July). Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa. Paper presented at 17th International Conference on Machine Learning and Data Mining MLDM 2022, New York, USA

Existing machine learning models for crop yield prediction model environmental data on the assumption that soil variables are unaffected by weather variables and therefore learn their intrinsic features independently. If the focus of crop yield predi... Read More about Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa.

Multispectral contactless 3D handprint acquisition for identification (2018)
Presentation / Conference
Hansen, M. F., Smith, L., & Smith, M. (2018, July). Multispectral contactless 3D handprint acquisition for identification. Paper presented at The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, USA

We present and experimentally demonstrate the potential effectiveness of a photometric stereo based high resolution system for capturing 3D handprints using visible light sources. The sub-surface vascular structures are also enhanced through the use... Read More about Multispectral contactless 3D handprint acquisition for identification.

Locomotion traits of dairy cows from overhead three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, December). Locomotion traits of dairy cows from overhead three-dimensional video. Paper presented at Visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico

We investigate two locomotion traits in dairy cows from overhead 3D video to observe lameness trends. Detecting lameness -particularly at an early stage- is important in order to allow early treatment which maximizes detection benefits. The proposed... Read More about Locomotion traits of dairy cows from overhead three-dimensional video.

Overhead spine arch analysis of dairy cows from three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, October). Overhead spine arch analysis of dairy cows from three-dimensional video. Paper presented at Eighth International Conference on Graphic and Image Processing (ICGIP 2016), Tokyo, Japan

We present a spine arch analysis method in dairy cows using overhead 3D video data. This method is aimed for early stage lameness detection. That is important in order to allow early treatment; and thus, reduce the animal suffering and minimize the h... Read More about Overhead spine arch analysis of dairy cows from three-dimensional video.

Quadruped locomotion analysis using three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, October). Quadruped locomotion analysis using three-dimensional video. Paper presented at IEEE ICSAE Conference, Newcastle, UK

Abstract— To date, there has not been a single method suitable for large-scale or regular-basis implementation to analyze the locomotion of quadruped animals. Existing methods are not sensitive enough for detecting minor deviations from healthy gait... Read More about Quadruped locomotion analysis using three-dimensional video.

Testing the validity of Lambert's law for micro-scale photometric stereo applied to paper substrates (2015)
Presentation / Conference
Azhar, F., Emrith, K., Pollard, S., Smith, M., Adams, G., & Simske, S. (2015, March). Testing the validity of Lambert's law for micro-scale photometric stereo applied to paper substrates. Paper presented at 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015), Berlin, Germany

This paper presents an empirical study to investigate the use of photometric stereo (PS) for micro-scale 3D measurement of paper samples. PS estimates per-pixel surface orientation from images of a surface captured from the same viewpoint but under d... Read More about Testing the validity of Lambert's law for micro-scale photometric stereo applied to paper substrates.

Non contact pulmonary functional testing through an improved photometric stereo approach (2014)
Presentation / Conference
Ahmad, J., Sun, J., Smith, L., & Smith, M. (2014, July). Non contact pulmonary functional testing through an improved photometric stereo approach. Paper presented at Medical Image Understanding and Analysis 2014, City University London

A non-contact computer vision based system is developed for Pulmonary Functional Testing. The unique and novel features of the system are that it views the patients from both front and back and creates a 3D structure of the whole torso. By observing... Read More about Non contact pulmonary functional testing through an improved photometric stereo approach.

Photometric stereo reconstruction for surface analysis of mucosal tissue (2014)
Presentation / Conference
Emrith, K., Slabaugh, G., Poullis, A. P., Goves, C., & Smith, M. (2014, July). Photometric stereo reconstruction for surface analysis of mucosal tissue. Paper presented at Medical Image Understanding and Analysis 2014, City University London

We introduce photometric stereo reconstruction for surface analysis of mucosal tissue. Photometric stereo captures images of a surface from a single camera, but illuminated from different light sources. From the set of images, a detailed surface rec... Read More about Photometric stereo reconstruction for surface analysis of mucosal tissue.

Using nasal curves matching for expression robust 3D nose recognition (2013)
Presentation / Conference
Emambakhsh, M., Evans, A., & Smith, M. (2013, September). Using nasal curves matching for expression robust 3D nose recognition. Paper presented at IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS2013), Washington DC, USA

The development of 3D face recognition algorithms that are robust to variations in expression has been a challenge for researchers over the past decade. One approach to this problem is to utilize the most stable parts on the face surface. The nasa... Read More about Using nasal curves matching for expression robust 3D nose recognition.

BRDF estimation for faces from a sparse dataset using a neural network (2013)
Presentation / Conference
Hansen, M. F., Atkinson, G., & Smith, M. (2013, August). BRDF estimation for faces from a sparse dataset using a neural network. Paper presented at Computer Analysis of Images and Patterns, CAIP 2013, York, UK

We present a novel �ve source near-infrared photometric stereo 3D face capture device. The accuracy of the system is demonstrated by a comparison with ground truth from a commercial 3D scanner. We also use the data from the �ve captured images to mo... Read More about BRDF estimation for faces from a sparse dataset using a neural network.

Multi-scale integration of slope data on an irregular mesh (2011)
Presentation / Conference
Saracchini, R., Stolfi, J., Leitão, H., Atkinson, G., & Smith, M. (2011, November). Multi-scale integration of slope data on an irregular mesh. Paper presented at Pacific-Rim Symposium on Image and Video Technology, Gwangju, South Korea, 2011, Gwangju, South Korea

Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition (2011)
Presentation / Conference
Hansen, M. F., Atkinson, G., Smith, M., & Smith, L. (2011, September). Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition. Paper presented at British Machine Vision Conference 2011, Dundee, UK

We present a number of related novel methods for reducing the dimensionality of data for the purposes of 2D and 3D face recognition. Results from psychology show that humans are capable of very good recognition of low resolution images and caricature... Read More about Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition.

The photoface database (2011)
Presentation / Conference
Zafeirou, S., Hansen, M. F., Atkinson, G., Argyriou, V., Petrou, M., Smith, M., & Smith, L. (2011, June). The photoface database. Paper presented at Biometrics Workshop of Computer Vision and Pattern Recognition, Colorado Springs, Colorado, USA

Human subjectivity to apparent randomness of surface textures (2010)
Presentation / Conference
Emrith, K., Chantler, M. J., Green, P. R., Smith, M., & Smith, L. (2010, September). Human subjectivity to apparent randomness of surface textures. Presented at 2nd CIE Expert Symposium on Appearance, Gent, Belgium

Baseline face recognition using photometric stereo data (2010)
Presentation / Conference
Zafeiriou, S., Hansen, M. F., Atkinson, G., Petrou, M., & Smith, M. (2010, September). Baseline face recognition using photometric stereo data. Paper presented at International Conference and Exhibition on Biometrics Technology, Coimbatore, Tamil Nadu, India, 2010, Coimbatore, Tamil Nadu, India

An efficient and practical 3D face scanner using near infrared and visible photometric stereo (2010)
Presentation / Conference
Atkinson, G., Hansen, M. F., Smith, M., & Smith, L. (2010, September). An efficient and practical 3D face scanner using near infrared and visible photometric stereo. Paper presented at International Conference and Exhibition on Biometrics Technology, Coimbatore, India

This paper is concerned with the acquisition of model data for automatic 3D face recognition applications. As 3D methods become progressively more popular in face recognition research, the need for fast and accurate data capture has become crucial. T... Read More about An efficient and practical 3D face scanner using near infrared and visible photometric stereo.

Multi-scale depth from slope with weights (2010)
Presentation / Conference
Saracchini, R., Stolfi, J., Leitão, H., Atkinson, G., & Smith, M. (2010, September). Multi-scale depth from slope with weights. Poster presented at British Machine Vision Conference, Aberystwyth, Wales

We describe a robust method to recover the depth coordinate from a normal or slope map of a scene, obtained e.g. through photometric stereo or interferometry. The key feature of our method is the fast solution of the Poisson-like integration equation... Read More about Multi-scale depth from slope with weights.

An automated mean-shift based segmentation for pigmented skin lesions (2010)
Presentation / Conference
Zhao, L., Sun, J., Smith, M., Smith, L., & Warr, R. (2010, July). An automated mean-shift based segmentation for pigmented skin lesions. Paper presented at 2010 Proceedings of Medical Image Understanding and Analysis (MIUA), Warwick

This paper presents an unsupervised segmentation scheme to isolate pigmented skin lesion from surrounding normal skin. An adaptive mean-shift algorithm combined with maximal similarity based region merging is applied with a colour-spatial feature sp... Read More about An automated mean-shift based segmentation for pigmented skin lesions.

Enhanced 3D visualisation of skin disorders for tele-dermatology (2009)
Presentation / Conference
Farooq, A., Sun, J., Smith, M., Smith, L., Warr, R., & Cotton, S. (2009, July). Enhanced 3D visualisation of skin disorders for tele-dermatology. Paper presented at Medical Image Understanding and Analysis 2009, Kingston University, London