Marker-based 2D temporospatial image modelling is a common strategy in characterizing human gait where Channel filtering, Threshold imaging, and Line feel algorithm are normally used in foreground segmentation targeting human lower limbs of a particular image frame. This paper presents Temporospatial Image Modelling approach in presenting segmented objects with spatiotemporal view by reflecting...

A multi-spectral image acquisition system and a fully automatic image registration of ancient manuscripts are presented in this paper. Parchment sometimes contains two scripts, whereas the first script was erased. Multi-spectral imaging enhances the erased script and makes it visible to the human eye respectively. In this paper an image acquisition system is presented, that records UV reflectog...

The rapidity with which digital information, particularly video, is being generated, has necessitated the development of tools for efficient search of these media. Content based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in v...

the aim of this study is investigate the relationship between resilience, hardiness and life satisfaction with body image of high school girls of sabzevar in 2014. this study was correlational. the population of this study included 1578 in high school girls of sabzevar and 311 persons were selected through multistep cluster sampling method. the data was collected using conner-davidson resilienc...

A new representation of faces, called face cyclographs, is introduced for face recognition that incorporates all views of a rotating face into a single image. The main motivation for this representation comes from recent psychophysical studies that show that humans use continuous image sequences in object recognition. Face cyclographs are created by slicing spatiotemporal face volumes that are ...

Learning image representations with ConvNets by pretraining on ImageNet has proven useful across many visual understanding tasks including object detection, semantic segmentation, and image captioning. Although any image representation can be applied to video frames, a dedicated spatiotemporal representation is still vital in order to incorporate motion patterns that cannot be captured by appea...

The purpose of this study is to establish the technique for estimating optical flow with high accuracy and robustness using gradient-based method with local optimization. To obtain high accuracy, we should understand error sources and how to reduce the errors. We proposed error reduction techniques for gradient measurement error which are a spatiotemporal median filter to reduce sensor noise an...

The behaviour of two well-known image registration techniques, namely the crosscorrelation and the phase-correlation algorithms, for input signals corrupted by additivewhite noise, is studied in the frequency domain. Useful expressions of the displacement measurement error variance are presented, which allow for the analysis of the accuracy of both methods.

The German TerraSAR-X and TanDEM-X satellites are able to acquire images operationally in ScanSAR and WideScanSAR modes and experimentally in TOPS mode. This paper gives an overview of the interferometric processing steps of burst-mode acquisitions, emphasizing the importance of the co-registration stage. A coregistration approach based on incoherent cross-correlation is presented. Interferomet...

A PIV algorithm is presented for estimating time-averaged or phase-averaged velocity fields. The algorithm can be applied to situations where signal strength is not sufficient for standard cross correlation techniques, such as a low number of particle images in an interrogation spot, or poor image quality. The algorithm can also be used to increase the spatial resolution of measurements by allo...