In this paper, a novel local texture descriptor termed as Local Block-Difference Pattern (LBDP) is proposed. In conventional LBP, sensitive to intensity change problem will drastically affect the performance due to its simple pixel value comparison mechanism. Different from LBP, the proposed LBDP describes the local textures from a pixel to a block for decreasing the impacts resulting from inte...

We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We ...

In this paper, we present and experiment a novel approach for retrieving 3D geometric texture patterns on 2D mesh-manifolds (i.e., surfaces in the 3D space) using local binary patterns (LBP) constructed on the mesh. The method is based on the recently proposed mesh-LBP framework [WBD15]. Compared to its depth-image counterpart, the mesh-LBP is distinguished by the following features: a) inherit...

Although the concept of process patterns is very promAbstract Process patterns allow the modular modelling and adaptable application of software processes. Present descriptions of process patterns show defects like non-uniform and unequivocal description forms and missing relationship definitions. These defects disadvantageously affect the effective usage of process patterns. In this work we pr...

BACKGROUND It is often suggested that neighbourhood access to food retailers affects the dietary patterns of local residents, but this hypothesis has not been adequately researched. We examine the association between neighbourhood accessibility to supermarkets and convenience stores and individuals' consumption of fruit and vegetables in New Zealand. METHODS Using geographical information sys...

Bitcoin, with its ever-growing popularity, has demonstrated extreme price volatility since origin. This volatility, together decentralised nature, make Bitcoin highly subjective to speculative trading as compared more traditional assets. In this paper, we propose a multimodal model for predicting fluctuations. takes input variety of correlated assets, technical indicators, well Twitter content....