The Pathways to Success initiative aimed to raise standards, especially in literacy, across the p... more The Pathways to Success initiative aimed to raise standards, especially in literacy, across the primary and secondary phases in Knowsley, Merseyside. The project commenced in February 2018 and concluded in July 2019. It was funded through the Department for Education’s Strategic School Improvement Fund (SSIF) and coordinated by the Knowsley Education Commission, set up in November 2016. The project focused on 30 schools in an area with exceptionally high levels of disadvantage and a poor record of student achievement over a number of years, particularly for students at age sixteen. Participating schools were able to access support from a PtS Adviser, development sessions organised at school level and centrally, and modest additional funding to implement a locally-authored Accelerated Improvement Plan overseen by an Accelerated Improvement Group. Key approaches included intensive work in classrooms, capacity building and leadership development, and school-to-school support.
Research and Development in Intelligent Systems XXXII, 2015
Multi-view reconstruction has been an active research topic in the computer vision community for ... more Multi-view reconstruction has been an active research topic in the computer vision community for decades. However, state of the art 3D reconstruction systems have lacked the speed, accuracy, and ease to use properties required by the industry. The work described in this paper is part of the effort to produce a multi-view reconstruction system for a UK company. A novel variational level set method is developed for reconstructing an accurate implicit surface for a set of unorganised points (point cloud). The variational model consists of three energy terms to ensure accurate and smooth surface reconstruction whilst preserving the fine details of the point cloud and increasing speed. The model also completely eliminated the need for reinitialisation associated with the level set method. Implementation details of the variational model using gradient descent optimisation are given, and the roles of its three energy terms are illustrated through numerical experiments. Experiments show that the proposed method outperformed the state of the art surface reconstruction approaches.
The Pathways to Success initiative aimed to raise standards, especially in literacy, across the p... more The Pathways to Success initiative aimed to raise standards, especially in literacy, across the primary and secondary phases in Knowsley, Merseyside. The project commenced in February 2018 and concluded in July 2019. It was funded through the Department for Education’s Strategic School Improvement Fund (SSIF) and coordinated by the Knowsley Education Commission, set up in November 2016. The project focused on 30 schools in an area with exceptionally high levels of disadvantage and a poor record of student achievement over a number of years, particularly for students at age sixteen. Participating schools were able to access support from a PtS Adviser, development sessions organised at school level and centrally, and modest additional funding to implement a locally-authored Accelerated Improvement Plan overseen by an Accelerated Improvement Group. Key approaches included intensive work in classrooms, capacity building and leadership development, and school-to-school support.
Research and Development in Intelligent Systems XXXII, 2015
Multi-view reconstruction has been an active research topic in the computer vision community for ... more Multi-view reconstruction has been an active research topic in the computer vision community for decades. However, state of the art 3D reconstruction systems have lacked the speed, accuracy, and ease to use properties required by the industry. The work described in this paper is part of the effort to produce a multi-view reconstruction system for a UK company. A novel variational level set method is developed for reconstructing an accurate implicit surface for a set of unorganised points (point cloud). The variational model consists of three energy terms to ensure accurate and smooth surface reconstruction whilst preserving the fine details of the point cloud and increasing speed. The model also completely eliminated the need for reinitialisation associated with the level set method. Implementation details of the variational model using gradient descent optimisation are given, and the roles of its three energy terms are illustrated through numerical experiments. Experiments show that the proposed method outperformed the state of the art surface reconstruction approaches.
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Papers by Ben Haines