17 research outputs found

    A Draught of Virginia

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    Copper plate engraving, color. 19 in. x 23.5 in. (48.26 cm x 59.69 cm). Map depicts eighteenth-century Tidewater and Chesapeake Bay area of Virginia. Titlepiece in bottom left. Scale is in bottom center. C. Harrison Mann, Jr. Map Collection, Map 24, location: Map Case C, D1.Map of Chesapeake Bay Area of Virginia, Mark Tiddeman, London, 1758

    Synthesis of facial ageing transforms using three-dimensional morphable models

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    Supplementary material restricted permanentlyThe ability to synthesise the effects of ageing in human faces has numerous uses from aiding the search for missing people to improving recognition algorithms and aiding surgical planning. The principal contribution of this thesis is a novel method for synthesising the visual effects of facial ageing using a training set of three-dimensional scans to train a statistical ageing model. This data-base is constructed by fitting a statistical Face Model known as a Morphable Model to a set of two dimensional photographs of a set of subjects at different age points in their lives. We verify the effectiveness of this algorithm with both quantitative and psychological evaluation. Most ageing research has concentrated on building models using two-dimensional images. This has two major shortcomings, firstly some of the information related to shape change may be lost by the projection to two-dimensions; secondly the algorithms are very sensitive to even slight variations in pose and lighting. By using standard face-fitting methods to fit a statistical face model to the image we overcome these problems by reconstructing the lost shape information, and can use a model of physical rotations and light transfer to overcome the issues of pose and rotation. We show that the three-dimensional models captured by face-fitting offer an effective method of synthesising facial ageing. The second contribution is a new algorithm for ageing a face model based on Projection to Latent Structures also known as Partial Least Squares. This method attempts to separate the training set into a set of basis vectors that best explains the shape and colour changes related to ageing from those factors within the training set that are unrelated to ageing. We show that this method is more accurate than other linear techniques at producing a face model that resembles the individual at the target age and of producing a face image of the correct perceived age. The third contribution is a careful evaluation of three well known ageing methods. We use both quantitative evaluation to determine the accuracy of the ageing method, and perceptual evaluation to determine how well the model performs in terms of perceived age increase and also identity retention. We show that linear methods more accurately capture ageing and identity information if they are trained using an individualised model, and that ageing is more accurately captured if PLS is used to train the model

    Visual ageing of human faces in three dimensions using morphable models and projection to latent structures

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    We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing related factors are used to train an individually weighted linear model. We show that this is an effective means of producing an aged face image and compare this method to two other linear ageing methods for ageing face models. This is demonstrated both quantitatively and with perceptual evaluation using human raters

    John Clanchy and Sonia Tiddeman

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    Department of Zoology - Site, people & animals - Michelle Morton, Nadia Ibrahim, Jim McKinley, Jim Bishop, Dr. Karen Walker, Dr. Warwick Nicholas, Mr. Trevor Ward, Dr. Carolyn Behm, Mr. Rob Chevis, Mr. Ced Phillips, John Clanchy, Sonia Tidemann, Dr. Chris Bryant, Mr. Mark Sandeman, Mr. Michael Howell, Mr. A. A. (Tony) Argyle & other

    New Teaching meeting with Sonia Tiddeman

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    Department of Zoology - Site, people & animals - Michelle Morton, Nadia Ibrahim, Jim McKinley, Jim Bishop, Dr. Karen Walker, Dr. Warwick Nicholas, Mr. Trevor Ward, Dr. Carolyn Behm, Mr. Rob Chevis, Mr. Ced Phillips, John Clanchy, Sonia Tidemann, Dr. Chris Bryant, Mr. Mark Sandeman, Mr. Michael Howell, Mr. A. A. (Tony) Argyle & other

    New York, New York 1750 1855

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    Relief indicated by hachures. Depths shown by soundings. Selected buildings shown pictorially. North oriented to the right. "Engraved by G. Hayward for D.T. Valentine's manual 1855 by permission of the Secretary of the Amn. Institute." "Wm. A. DePeyster found this map among old papers in 1804 belonging to his grandfather's Abraham dePeyster & John Livingston of the manor."Grayscale

    The Cantelowe Accounts - Multilingual merchant records from Tuscany, 1450-1451

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    The Cantelowe Accounts appear to offer the earliest evidence of an English merchant using Italian as a second language. They were written by John Balmayn, an unknown Londoner, who travelled to Tuscany to oversee the sale of a valuable wool shipment in 1450-51 on behalf of his master - the Mercer, Sir William Cantelowe. The author uses an intriguing mix of four languages, combining Middle English, Latin and Anglo-French with the administrative Tuscan that he has learnt working alongside Florentine partners, such as the Salviati company. Two other striking features of the text are the extensive use of Arabic numerals, unparalleled in fifteenth-century English accounting, and the unusually detailed descriptions of merchant marks that were used to identify the woolsacks. Overall, the accounts are unique amongst multilingual medieval sources and will interest economic historians and historical linguists alike

    The Cantelowe Accounts

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    Multilingual merchant records from Tuscany, 1450-1451 Edited by Megan Tiddeman "The Cantelowe Accounts appear to offer the earliest evidence of an English merchant using Italian as a second language. They were written by John Balmayn, an unknown Londoner, who travelled to Tuscany to oversee the sale of a valuable wool shipment in 1450-51 on behalf of his master - the Mercer, Sir William Cantelowe. The author uses an intriguing mix of four languages, combining Middle English, Latin and Anglo-..

    Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats

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    This paper describes a collaboration between marine and computer scientists to improve fisheries data collection. We evaluate deep learning (DL)-based solutions for identifying crabs and lobsters onboard fishing boats. A custom made electronic camera systems onboard the fishing boats captures the video clips. An automated process of frame extraction is adopted to collect images of crabs and lobsters for training and evaluating DL networks. We train Faster R-CNN, Single Shot Detector (SSD), and You Only Look Once (YOLO) with multiple backbones and input sizes. We also evaluate the efficiency of lightweight models for low-power devices equipped on fishing boats and compare the results of MobileNet-based SSD and YOLO-tiny versions. The models trained with higher input sizes result in lower frames per second (FPS) and vice versa. Base models are more accurate but compromise computational and run time cost. Lighter versions are flexible to install with lower mAP than full models. The pre-trained weights for training models on new datasets have a negligible impact on the results. YOLOv4-tiny is a balanced trade-off between accuracy and speed for object detection for low power devices that is the main step of our proposed pipeline for automated recognition and measurement of crabs and lobsters on fishing boats.Computer Graphics and Visual Computing (CGVC)Poster

    3D comparison of average faces in subjects with oral clefts

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    SUMMARY This prospective cross-sectional, case-controlled morphometric study assessed three dimensional (3D) facial morphological differences between average faces of 103 children aged 8-12 years; 40 with unilateral cleft lip and palate (UCLP), 23 with unilateral cleft lip and alveolus (UCLA), 19 with bilateral cleft lip and palate (BCLP), 21 with isolated cleft palate (ICP), and 80 gender and age-matched controls. 3D stereophotogrammetric facial scans were recorded for each participant at rest. Thirty-nine landmarks were digitized for each scan, and x-, y-, z-coordinates for each landmark were extracted. A 3D photorealistic average face was constructed for each participating group and subjective and objective comparisons were carried out between each cleft and control average faces. Marked differences were observed between all groups. The most severely affected were groups where the lip and palate were affected and repaired (UCLP and UCLA). The group with midsagittal palatal deformity and repair (ICP) was the most similar to the control group. The results revealed that 3D shape analysis allows morphometric discrimination between subjects with craniofacial anomalies and the control group, and underlines the potential value of statistical shape analysis in assessing the outcomes of cleft lip and palate surgery, and orthodontic treatment. \ua9 2012 The Author 2012. Published by Oxford University Press on behalf of the European Orthodontic Society
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