Two improved texture features (hybrid local binary pattern, HLBP) and (color based hybrid local binary pattern, CHLBP) which are based on gray image texture and color space are proposed for pedestrian detection. The experimental results show that, when FPPW is 10^–4, the detection rate of HLBP is 93.96% which is about 3.46% and 9.68% higher than Uniform LBP and CSLBP respectively. At the same time, when combined with the HIKSVM classifier, CHLBP feature based on L′C′C′ space makes the detection rate up to 98.58%, and its detection performance has been greatly improved, by this method an good result could be obtained in pedestrian detection.

A fast 3D mesh segmentation method was introduced. Different from most of the others, the method provided segmentations in respect of the mesh face set, and the curvatures were estimated between two adjacent faces. Based on watersheds algorithm, the method completes the segmentation using interactive markers as indicators, thus over-segmentation and noising problems were avoided. At the same time minima rule was adopted to achieve a much reasonable result according to human's subjective perception. Experimental results show that the process is fast enough for interactive applications.

Internet-based navigating of large-cale terrain environments is an important aspect of distribute virtual reality applications such as flight simulations and military maneuver, but currently is restricted by the limited network bandwidth. The authors exploit the potential of terrain as stream media and propose a new data lay-out that facilitates network transmission. By taking advantage of the regularity of DEM, terrain data are organized into multiple progressive compressed streams. Runtime network throughput is effectively reduced by intra- and inter-frame coherence. Coupled with carefully designed transmission scheme, the algorithm is decreased and can accommodate to dynamically changed network bandwidth.