Watch and Learn: Peer Evaluation and Tutoring Pedagogy

By observing fellow tutors’ consultations, writing center tutors improve their abilities to evaluate their own practices when working with students. How can we as writing center directors strike a balance between evaluating tutors and allowing them to become independent, selfreflective thinkers? One solution I’ve found has been to ask tutors to observe and evaluate one another’s tutoring.University Writing Cente

Shapes-from-silhouettes based 3D reconstruction for athlete evaluation during exercising

Shape-from-silhouettes is a very powerful tool to create a 3D reconstruction of an object using a limited number of cameras which are all facing an overlapping area. Synchronously captured video frames add the possibility of 3D reconstruction on a frame-by-frame-basis making it possible to watch movements in 3D. This 3D model can be viewed from any direction and therefore adds a lot of information for both athletes and coaches

Translanguaging : a matter of sociolinguistics, pedagogics and interaction?

This chapter forms part of an analytical-interpretative exercise in coming to terms with one of the key concepts in contemporary writings on globalization-affected multilingual classrooms: translanguaging (TL). What is the term’s precise scope? What are the theoretical-methodological frameworks which bear upon the formulation of a basis for its implementation? And how can an answer to these two questions be informed by an analysis of instances where TL has been accomplished successfully in classroom practice? As a specific point of departure, we suggest a triadically formulated question: is translanguaging primarily a sociolinguistic, a pedagogical and/or an interactional concept? And, if the conclusion to be drawn is that an affirmative answer is invited for each of the three dimensions, then how might one understand the various interconnections between these dimensions

Full 3D reconstruction of human motion by combining video streams

Understanding how sportsmen move is a prerequisite to improve their technique. For this reason, coaches have turned to modern technology to collect detailed data on athletes’ movements. Current solutions to create a 3D reconstruction of human motion are not very user-friendly, as they require athletes to wear transmitters or markers on their body. Researchers from IPI – an imec research group at Ghent University — now developed a markerless method to enable a full 3D reconstruction, by combining data from multiple video streams

Cell-based approach for 3D reconstruction from incomplete silhouettes

Shape-from-silhouettes is a widely adopted approach to compute accurate 3D reconstructions of people or objects in a multi-camera environment. However, such algorithms are traditionally very sensitive to errors in the silhouettes due to imperfect foreground-background estimation or occluding objects appearing in front of the object of interest. We propose a novel algorithm that is able to still provide high quality reconstruction from incomplete silhouettes. At the core of the method is the partitioning of reconstruction space in cells, i.e. regions with uniform camera and silhouette coverage properties. A set of rules is proposed to iteratively add cells to the reconstruction based on their potential to explain discrepancies between silhouettes in different cameras. Experimental analysis shows significantly improved F1-scores over standard leave-M-out reconstruction techniques