IPDDF: an improved precision dense descriptor based flow estimation

Dense Fluid Flow Estimation

In this paper we address the problem of estimating and analyzing the motion in image sequences showing uid phenomenon. Due to the great deal of spatial and temporal distortions that luminance patterns exhibit in images of uid, standard techniques from Computer Vision, originally designed for quasi-rigid motions with stable salient features, are not well adapted in this context. In that prospect...

Automatic staging of placental maturity based on dense descriptor.

Currently, placental maturity staging is mainly based on subjective observation of the physician. To address this issue, a new method is proposed for automatic staging of placental maturity based on B-mode ultrasound images. Due to small variations in the placental images, dense descriptor is utilized in place of the sparse descriptor to boost performance. Dense sampled DAISY descriptor is inve...

An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis

In order to enhance the accuracy of the motion vector (MV) estimation and also reduce the error propagation issue during the estimation, in this paper, a new adaptive error concealment (EC) approach is proposed based on the information extracted from the video scene. In this regard, the motion information of the video scene around the degraded MB is first analyzed to estimate the motion type of...

Binary descriptor-based dense line-scan stereo matching

We present a line-scan stereo system and descriptor-based dense stereo matching for highperformance vision applications. The stochastic binary local descriptor (STABLE) descriptor is a local binary descriptor that builds upon the principles of compressed sensing theory. The most important properties of STABLE are the independence of the descriptor length from the matching window size and the po...

An improved DWT - based pre onditioner for dense