A single two dimensional (2D) image does not contain depth information. An infinite number of points in the three dimensional (3D) space are projected to the same point in the image plane. But a single 2D image has some monocular depth cues, by which we can make a hypothesis of depth variation in the image to generate a depth map. This paper proposes an interactive method of depth map generatio...

Actually to generate a 3D view starting from a single view image different tools are required. These are not fully automatic application and require expensive computational resources. This paper presents a single framework aimed to obtain the stereoscopic view avoiding the user interaction and reducing the computation complexity. Moreover the depth map generation step is able to work directly o...

Optical-resolution photoacoustic flowmetry (PAF) allows noninvasive single-cell flow measurements. However, its operational depth is limited by optical diffusion, which prevents focusing beyond shallow depths in scattering media, as well as reducing the measurement signal-to-noise ratio (SNR). To overcome this limitation, we used binary-amplitude wavefront shaping to enhance light focusing in t...

Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval and other emerging interactive multimedia fields. Determinations of distinctive depth of a frame features have become more popular in everyday life for automation industries like machine vision and computer vision technologies. This paper examines the evaluation of depth cues through...

Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval and other emerging interactive multimedia fields. Determinations of distinctive depth of a frame features have become more popular in everyday life for automation industries like machine vision and computer vision technologies. This paper examines the evaluation of depth cues through...

This paper demonstrates a simple and pragmatic approach for the creation of smaller pools for evaluation of ad hoc retrieval systems. Instead of using an apriori-fixed depth, variable pool-depth based pooling is adopted. The pool for each topic is incrementally built and judged interactively. When no new relevant document is found for a reasonably long run of pool-depths, pooling can be stopped...

In this work, we investigate the effect of convolutional network depth, receptive field size, dropout layers, rectified activation unit type and dataset noise on its accuracy in Tiny-ImageNet Challenge settings. In order to make a thorough evaluation of the cause of the peformance improvement, we start with a basic 5 layer model with 5×5 convolutional receptive fields. We keep increasing networ...

A nonlinear optimal control approach based on an implicit nite dimensional discrete model is presented which determines the optimal opening of a regulator gate at the upstream end in the case of a single reach hydraulic system in order to minimize the waste water and the variation of the water depth The nonlinear discrete model is obtained from the well known Preissmann nite di erence scheme Th...

An experiment is reported that compared expandable indexes providing full menu context with sequential menus providing only partial context. Menu depth was varied using hierarchies of 2, 3, and 4 levels deep in an asymmetric structure of 457 root level items. Menus were presented on the World Wide Web within a browser. Participants searched for specific targets. Results suggest that reducing th...

An experiment is reported that compared expandable indexes providing full menu context with sequentialmenus providing only partial context. Menu depth was varied using hierarchies of two, three and four levels deep in an asymmetric structure of 457 root level items. Menus were presented on the World Wide Web within a browser. Participants searched for speci®c targets. Results suggest that reduc...