M. Phil. / Please refer to full text to view abstract / Prof. J.T. Ferreira

M.Phil. / Sports vision has been a part of sport for a long time, probably since an athlete was first told to: ‘keep his eye on the ball’. It is only recently that athletes are beginning to realize the advantages of using their eyes to their full potential, and the difference it can make in an athlete’s performance. This is more prevalent today, where athletes can become instant hero’s and earn huge salaries. For a number of years specific instruments were used to test specific visual skills and norms were calculated for these skills. A few questions arises though when the norms for these visual skills are carefully studied. The purpose of this study was to evaluate previous norms and to develop norms and protocols for sports vision evaluations. Various visual skills were examined and previously used results evaluated. Key performance indicators in the evaluation of an athletes, as well as the cornerstones of sport vision were also discussed. Only elite athletes were used in this study. / Prof. J.T. Ferreira

During the first aid process, when patients are threatened by poor medical conditions, ambulance paramedics are required to administer emergency treatment based on instruc- tions provided by a remote emergency doctor through voice communication. However, such voice communication is always limited in expressing abundant detailed information for the patient. This thesis presents a framework for a stereoscopic and intelligent telemedicine sys- tem that can provide 3D live video communication between paramedics and emergency doctors. The proposed system captures 3D video from the paramedic headset carried by the paramedics, transmits the video through wireless live streaming, and displays the video with a 3D effect for emergency doctors in the hospital. The video can be analyzed to extract information about the patient through embedded algorithm such as face de- tection algorithm. In this thesis, the hardware, functional mechanism and face detection algorithm are introduced separately. The hardware of the system consists of a paramedic headset, a server box and a 3D PC, which are used to capture 3D video, transmit video through live streaming and display video with a stereo effect, respectively. The functional mechanism includes two subsystems, which work for pushing the stereo video to multiple live streams and displaying the 3D video from the live stream. In order to detect the patient information from the video, a multi-task face detection algorithm is applied to analyze the stereo video using deep learning technology. We improved the neural networks of face detection by utilizing 1 ⇥ 1 convolutional layers and retrain the network based on the transfer learning to achieve better and faster performance. This system has achieved good and stable performance in network delay (0.0489ms) and objective video quality evaluations. The face detection algorithm has achieved no- table accuracy (91.78% In FDDB dataset) and efficiency (19.71 ms/frame).

This dissertation work is describing the usage of the software tool Computer Vision System Toolbox to create applications in computer vision. At the beginning of the work is performed background research of image scanning and its representation by using colour models. It is followed by a description of epipolar geometry and lastly is stated a description of the Computer Vision System Toolbox. In the next section of the work we deal with setting of used Basler cameras and processing of the scanned image. The following is a description how to create applications for object detection and after this description, we get to know applications for creation of depth maps area.

No description available.

Yes / We used triple silent substitution stimuli to characterize human S-cone electroretinograms (ERGs) in normal trichromats. Short-wavelength-cone (S-cone) ERGs were found to have different morphological features and temporal frequency response characteristics compared to ERGs derived from L-cones, M-cones, and rod photoreceptors in normal participants. Furthermore, in two cases of retinal pathology, blue cone monochromatism (BCM) and enhanced S-cone syndrome (ESCS), S-cone ERGs elicited by our stimuli were preserved and enhanced, respectively. The results from both normal and pathological retinae demonstrate that triple silent substitution stimuli can be used to generate ERGs that provide an assay of human S-cone function. / Deutsche Forschungsgemeinschaft (DFG) (KR1317/13-1); Bundesministerium für Bildung und Forschung (BMBF) (01DN14009)

Yes / Edge detection plays an important role in human vision, and although it is clear that there are luminance edge detectors, it is not known whether there are chromatic edge detectors as well.We showed observers a horizontal edge blurred by a Gaussian filter (with widths of r ¼ 0.1125, 0.225, or 0.458) embedded in blurred Brown noise. Observers had to choose which of two stimuli contained the edge. Brown noise was used in preference to white noise to reveal localized edge detectors. Edges and noise were defined by either luminance or chromatic contrast (isoluminant L/M and S-cone opponent). Classification image analysis was applied to observer responses. In this analysis, the random components of the stimulus are correlated with observer responses to reveal a template that shows how observers weighted different parts of the stimulus to arrive at their decision.We found classification images for both luminance and isoluminant chromatic stimuli that had shapes very similar to derivatives of Gaussian filters. The widths of these classification images tracked the widths of the edges, but the chromatic edge classification images were wider than the luminance ones. These results are consistent with edge detection filters sensitive to luminance contrast and isoluminant chromatic contrast. / Royal Society Travel Grant IE130877 and in part by Canadian Institutes of Health Research (CIHR) grant MOP-10819

Thesis: B.S., Massachusetts Institute of Technology, Department of Physics, 1976 / Bibliography: leaves [73-74]. / B.S. / B.S. Massachusetts Institute of Technology, Department of Physics

Digitized by Kansas Correctional Industries

An on-line 3D visual object tracking framework for monocular cameras by incorporating spatial knowledge and uncertainty from semantic mapping along with high frequency measurements from visual odometry is presented. Using a combination of vision and odometry that are tightly integrated we can increase the overall performance of object based tracking for semantic mapping. We present a framework for integration of the two data-sources into a coherent framework through uncertainty based fusion/arbitration.