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Kanan, C. (2013). Recognizing Sights, Smells, and Sounds Using Gnostic Fields. PLOS ONE: e54088. doi:10.1371/journal.pone.0054088
Key Words: Stimulus Classification, Sound Classification, electronic nose, Image Recognition, Computer Vision
Summary: I develop a new kind of "localist" neural network called a gnostic field that is easy to implement as well as being fast to train and run. The model is tested on its ability to classify images (Caltech-256 and CUB-200), musical artists, and odors. Gnostic fields exceeded the best methods across modalities and datasets.
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Birmingham, E., Meixner, T., Iarocci, G., Kanan, C., Smilek, D.,
& Tanaka, J. (2012) The Moving Window Technique: A Window into Age-Related Changes in Attention to Facial Expressions of Emotion. Child Development. doi:10.1111/cdev.12039
Key Words: Face Processing, Emotion Recognition
Summary: We develop a new computer mouse-driven technique for assessing attention, and the approach is used in a developmental study of facial expression recognition.
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| 4. | |
Kanan, C. & Cottrell, G. W. (2012). Color-to-Grayscale: Does the Method Matter in Image Recognition? PLOS ONE, 7(1): e29740. doi:10.1371/journal.pone.0029740.
Key Words: Color-to-grayscale, Image Recognition, Computer Vision
Summary: We tested 13 color-to-grayscale algorithms in a modern descriptor based image recognition framework with 4 feature types: SIFT, SURF, Geometric Blur, and Local Binary Patterns (LBP). We discovered that the method can have a significant influence on performance, even when using robust features.
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| 3. | |
Kanan, C. & Cottrell, G. W. (2010). Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
Key Words: Object Recognition, Active Vision, Eye Movements, Computational Neuroscience
Summary: We used simulated eye movements with a model of V1 to achieve state-of-the-art results as of early 2010 on a number of challenging datasets in computer vision.
[Project Webpage] [MATLAB Demo] [MATLAB Code for Experiments] [Supplementary Materials]
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| 2. | |
Kanan, C., Flores, A., & Cottrell, G. W. (2010). Color Constancy Algorithms for Object and Face Recognition. International Symposium on Visual Computing (ISVC 2010).
Key Words: Object Recognition, Computer Vision
Summary: We examine the performance of color constancy algorithms in this paper. Our later work on
color-to-grayscale algorithms is substantially more rigorous.
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| 1. | |
Kanan, C., Tong, M. H., Zhang, L., & Cottrell, G. W. (2009). SUN: Top-down saliency using natural statistics. Visual Cognition, 17: 979-1003.
Key Words: Attention, Active Vision, Eye Movements, Computational Psychology
Summary: We modeled task-driven visual search, and demonstrated that appearance is predictive of human fixation locations.
[Project Webpage]
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