INDUJA_BODY.rar - Applications of Computer graphics, especially digital photographs and other complex color images,can produce very large file sizes. Problems of storage space and the necessity to fast transmit image data across networks and over the Internet, have thus, led to the growth of a range of image compression techniques, to minimize the physical size of files. Majority of the compression approaches are not dependent of particular file formats, several formats support a number of different compression kinds. They are an important segment of digital image formation, utilization and storage. But, a number of aspects such as efficiency, compression ratio etc., must be taken into account when using compression algorithms,2013-11-20 14:39:29,下载1次
SEM-REP-ORG.rar - Applications of Computer graphics, especially digital photographs and other complex color images,can produce very large file sizes. Problems of storage space and the necessity to fast transmit image data across networks and over the Internet, have thus, led to the growth of a range of image compression techniques, to minimize the physical size of files. Majority of the compression approaches are not dependent of particular file formats, several formats support a number of different compression kinds. They are an important segment of digital image formation, utilization and storage. But, a number of aspects such as efficiency, compression ratio etc., must be taken into account when using compression algorithms,2013-11-20 14:34:45,下载1次
Mohamad-suhail_Body.rar - Robotic systems have brought significant socioeconomic impacts to human lives over the past few decades. Cloud Robotics is the latest existing idea tapping into the Internet s vast and rapidly expanding network of computing and data resources. Cloud Robotics has the potential to significantly improve robot performance by indexing libraries of annotated image models to provide semantic information, e.g., CAD models and material properties to facilitate grasping, providing access to massively parallel computation, e.g., video processing, sample-based uncertainty modeling and motion planning, and statistical robot learning, supporting on-demand sharing of data, software, trajectories, and dynamic control policies, obtaining call-center human guidance when all else fails. Cloud computing can enable cheaper, lighter, “smarter” robots. The infrastructure exists and is rapidly evolving in terms of performance and accessibility,2013-11-20 14:20:55,下载4次
solar-cells.zip - The world currently uses about 13 terawatts (TW) of energy, and it is predicted by 2050, an additional 10 TW will be required. Not only that, the additional energy required will be have to be carbon neutral. Considering all of this, what is the role of solar energy?
( Hydroelectric energy could provide about 0.5 TW, tides and oceans could chip in 2 TW and wind power could blow 2 – 4 TW) Solar energy striking the earth amounts to 120,000 TW, yet only 0.01 – 0.04 of current energy usage is derived from solar sources. In theory, one hour’s solar irradiation is enough to supply a year’s global energy demands.Solar flux at ground level is approximately 340 W/m2 in the world’s sunniest areas.
,2013-11-20 00:52:09,下载6次
gender.zip - Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased
face retrieval by constructing semantic codewords for efficient
large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.,2013-11-20 00:42:07,下载7次
smart-passport.zip - This project developed mainly for find out a solution for the problems associated with police check posts. Now a day we will have to spend a lot of times in police check post to verify the data’s associated with our vehicle in their. This project will solve all of the problems related with it. Our system is a smart passport which will automatically send our vehicle’s data to police check post and another system in their will automatically verify it. Another advantage of this system is that, it will automatically detect the school zone, hospital zone and will automatically lower the speed of vehicle too. So it is a security system too.,2013-11-20 00:38:24,下载1次
first-phase.zip - The aim of this paper is to describe a novel and completely
automated technique for carotid artery (CA) recognition,
far (distal) wall segmentation, and intima–media thickness (IMT)
measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale–space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen–intima,2013-11-20 00:11:13,下载26次
ExtractBackground.zip - he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way.,2013-11-19 23:41:02,下载15次