The battle of Cable Street

This witness seminar on the events in the East End of London of 4 October 1936, traditionally known as the ‘Battle of Cable Street’, was held at the Institute of Historical Research on 1 May 1991. It was chaired by Professor Geoffrey Alderman and introduced by Noreen Branson. The participants were Sid Bailey (former member of the BUF), Dr David Cesarani, Tony Gilbert, Charlie Goodman, Joyce Goodman, Professor Colin Holmes, Frank Lesser, Kevin Morgan (biographer of Harry Pollitt), Phil Piratin (Communist MP for Mile End 1945–50), Michael Quill, Jack Shaw, Harold Smith, Ronald F. Webb (former member of the BUF) and Len Wise (former member of the BUF). Yvonne Kapp was unable to attend but she sent a short account of her recollections of the event and this has been included with this transcript.

A Single-Frame Super-Resolution Innovative Approach

Super-resolution refers to the process of obtaining a high resolution image from one or more low resolution images. In this work, we present a novel method for the super-resolution problem for the limited case, where only one image of low resolution is given as an input. The proposed method is based on statistical learning for inferring the high frequencies regions which helps to distinguish a high resolution image from a low resolution one. These inferences are obtained from the correlation between regions of low and high resolution that come exclusively from the image to be super-resolved, in term of small neighborhoods. The Markov random fields are used as a model to capture the local statistics of high and low resolution data when they are analyzed at different scales and resolutions. Experimental results show the viability of the method.

Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal

We present a method for recovering facial shape using an image of a face and a reference model. The zenith angle of the surface normal is recovered directly from the intensities of the image. The azimuth angle of the reference model is then combined with the calculated zenith angle in order to get a new field of surface normals. After integration of the needle map, the recovered surface has the effect of mapped facial features over the reference model. Experiments demonstrate that for the lambertian case, surface recovery is achieved with high accuracy. For non-Lambertian cases, experiments suggest potential for face recognition applications.