VCFN: Virtual Cloth Fitting Try-On Network

Virtual cloth fitting network has an increasing demand with a growing online shopping trend to map target clothes on reference subject. Previous research depicts limitations in the generation of promising deformed clothes on the wearer's body while retaining the design features of cloth-like logo, text, and wrinkles. The proposed model first learns thin-plate spline transformations to warp images according to body shape, followed by a try-on module. The former model combines deformed cloth with a rendered image to generate a composition mask and outputs target body without blurry clothes while preserving critical requirements of the wearer. Experiments are performed on the Zalando dataset and the model produces fine richer details and promised generalized results

Crowd detection and counting using a static and dynamic platform: state of the art

Automated object detection and crowd density estimation are popular and important area in visual surveillance research. The last decades witnessed many significant research in this field however, it is still a challenging problem for automatic visual surveillance. The ever increase in research of the field of crowd dynamics and crowd motion necessitates a detailed and updated survey of different techniques and trends in this field. This paper presents a survey on crowd detection and crowd density estimation from moving platform and surveys the different methods employed for this purpose. This review category and delineates several detections and counting estimation methods that have been applied for the examination of scenes from static and moving platforms

The sensory archaeology of textiles

Textiles are sensuous; we respond to them through touch, vision and smell, movement, sound and temperature. Through sensations, textiles embody emotions of identity, and define hierarchies of power and value. Yet through the taphonomy of decay, ancient textiles are frequently devoid of their original sensory properties, they come to us as faded, fragile, dirty rags. A sensory archaeology of textiles, therefore, requires a suite of methods to reveal these sensations and a contextual analysis to interpret them within their chronological and regional archaeologies. In raising to this challenge, this chapter proposes for the first time a sensory archaeology of textiles. Through innovative case studies, the author invites the reader to recognise the implications of a sensory archaeology of textiles, and to consider the consequences for their own research fields