Depth discrimination with a shifted contrast window was compared to that with a fixed contrast window. Stereoscopic performance with the fixed window was limited to small disparities and varied with spatial frequency. Performance with the shifted window extended to larger disparities and was more similar for low and high spatial frequencies. The results depended upon window shape, indicating th...

lurestan province is petroliferous area. the reserved oil are in ilam and sarvak  (cretaceous ) and kangan ( lower triassic ) and dalan (permian) formations. the lurestan area had high exploration activity but contribution of source rocks in hydrocarbon accumulations isn’t clear. in this paper essential elements and process of hydrocarbon accumulation are introduced. candidate  source  rocks ar...

An efficient algorithm addressing robust disparity estimation based on region information is proposed. In the proposed method, a new adaptive-size window approach is introduced to stereo matching in order to overcome problems with fixed-size window. The reliability of disparity estimation is then measured with a criterion based on uniqueness and smoothness constrains. In occluded areas and imag...

for disparity estimation is introduced. In the proposed approach the size of the matching window is adapted according to the spatial variability of the matching areas. That is, the window size is constrained by the variations of the image intensity. A modified semivariogram function is proposed to measure the spatial variability of concerned sampling positions. Results of computer experiments a...

Window-based correlation algorithms are widely used for stereo matching due to their computational efficiency as compared to global algorithms. In this paper, a multiple window correlation algorithm for stereo matching is presented which addresses the problems associated with a fixed window size. The developed algorithm differs from the previous multiple window algorithms by introducing a relia...

For the problems that the traditional local SAD algorithm is affected by the central pixels largely and noise easily, this paper puts forward a new Rank-transform stereovision matching algorithm based on window weighted function. Firstly, the traditional nonparametric Rank transformation is used for left and right gray images to suppress the noise; meanwhile, the weighted window function is add...

Adaptive support weights and over-parameterized disparity estimation truly improve the accuracy of stereo matching by enabling window-based similarity measures to handle depth discontinuities and non-fronto-parallel surfaces more effectively. Nevertheless, a disparity map sequence obtained in a frame-by-frame manner still tends to be inconsistent even with the use of state-of-the-art stereo mat...

This paper describes a hybrid least squares stereo matching and feature detection approach for the accurate metric recovery of 3-D facial shape and shape change. We have incorporated an active shape model to enable a priori image segmentation, facilitate adaptive window stereo matching and to locate seed point correspondences on which full field disparity estimates can be reliably initialised. ...