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Register a new userAutomatic Estimation of 3D Human Pose and Shape from a Single Image
تقدير تلقائي لوضع الشخص ثلاثي البعد من خلال صورته ثنائية البعد
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Ghaith Abu Hakmeh
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إعادة تشكيل وضعيات الإنسان ثلاثية الأبعاد من صورة واحدة ثنائية الأبعاد هي مشكلة تمثل تحديا للعديد من الباحثين. وفي السنوات الأخيرة، كان هناك اتجاه صاعد نحو تحليل الهندسة ثلاثية الأبعاد للكائنات بما في ذلك الأشكال والوضع بدلاً من مجرد تقديم مربعات مربوطة. حيث أن التفكير الهندسي ثلاثي الأبعاد يؤدي إلى توفير معلومات أكثر ثراءً عن المشهد لمهام لاحقة عالية المستوى مثل فهم المشهد والواقع المعزز والتفاعل مع الكمبيوتر البشري، بالإضافة أيضًا تحسين اكتشاف الكائنات [3]، [4]. ولذلك كانت إعادة التشكيل ثلاثية الأبعاد مشكلة مدروسة جيداً، وكانت هناك العديد من التقنيات القابلة للتطبيق عمليًا مثل البنية من الحركة، والأنظمة الصوتية متعددة المقاييس ومستشعرات العمق، ولكن هذه التقنيات محدودة في بعض السيناريوهات. هنا في هذه الورقة، نعرض كيف تم التعامل مع المشكلة في العقود القليلة الماضية، وتحليل التطورات الأخيرة في هذا المجال، والاتجاهات المحتملة للبحث في المستقبل.
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References used
Y. Xiang and S. Savarese, “Estimating the aspect layout of object categories,” in International Conference on Computer Vision and Pattern Recognition, 2012.
M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic, “Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models,” in IEEE Conference on Computer Vision and Pattern Recognition, 2014.
S. Fidler, S. Dickinson, and R. Urtasun, “3d object detection and viewpoint estimation with a deformable 3d cuboid model,” in Advances in Neural Information Processing Systems, 2012.
E. Simo-Serra, A. Quattoni, C. Torras, and F. Moreno-Noguer, “A joint model for 2d and 3d pose estimation from a single image,” in IEEE Conference on Computer Vision and Pattern Recognition, 2013.
Lee, H., Chen, Z.: Determination of 3D human body postures from a single view. Computer Vision Graphics and Image Processing 30(2), 148{168 (1985)
Taylor, C.: Reconstruction of articulated objects from point correspondences in single uncalibrated image. Computer Vision and Image Understanding, CVIU 80(10),349{363 (2000)
Barron, C., Kakadiaris, I.: Estimating anthropometry and pose from a single uncalibrated image. Computer Vision and Image Understanding, CVIU 81(3), 269{284(2001)
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There has been a clear and rapid development in signal processing systems,
this development comes as a result of the availability of modern techniques
in electronic systems and also as a result of achieving mathematical
algorithms which were effec
tive and perfect for signal processing.
One of the most important application in signal processing is the digital
image processing techniques. Sampling process is regarded as one of the
basic and important operations in signal processing, from which we obtain
samples that can represent the original image in perfect way.
We present in this essay an affective algorithm which helps to arrange onedimensional
samples from two- dimensional samples image. This enables to
obtain a series of samples which has an ability of representing images with
concern of their general structure. Also the neighborhood correlation of
image points is respected, in addition to carrying out the subsequent
treatments with less mathematical cost.
Fetus images produced by 2D ultrasound devices are ambiguous and lack precision. This led to the need
for offering a 3D visualization of the fetus, which allows visualizing width, height, and angle, in order to
get additional information about the
fetus, and detect fetus abnormalities.
We explain in this paper our method in producing 3D models of the fetus from 2D images using a
computer system without the need for changing the 2D imaging devices, and without using position
sensors.
Our method is based on passing the probe over the pregnant woman's abdomen and make a manual scan
for the entire body of the fetus from top of the head till the bottom of his feet, then it saves this scan as a
video clip then send, it to the computer which segments the video into multiple images which are saved and
later processed using digital processing principles of images. Then these processed images are
reconstructed to produce the volume matrix and then display it in a 3D form using 3D model construction
methods.
We applied our software on various fetuses of different ages and got volume images which are considered
good in comparison with the images offered by currently available systems and devices. The precision of
the images we got, differs according to the change in fetus pose, amniotic liquid, and fetus size, The
obstetrician or gynecologist can retrieve more precise details by changing the angle and displaying volume
images of certain part of the fetus body.
As oil spells, it is important to act as quickly as possible in order to minimize
damages that can affect people and natural life. Thus, for the necessary operations to be
done on time following an accident, numerical simulation of oil spell is an
essential tool.
The purpose of this paper is to develop a 2-D numerical model for the main operations
that control and affect the trajectory and fate of an oil spill. Two additional operations had
been considered, those are evaporation and dissolution which lead to lose some of the
spilled oil even in air or water column. Afterwards, oil spill scenarios had been created and
spreading of an oil spill, whose density and initial position are known, had been examined.
Using MATLAB, flow simulations had been made and results had been discussed.
Image compression is one of the most important branches of digital image
processing. It reduces the size of the captured images and minimizes the storage space on
the drivers to speed up the transferring and transmission.
In this paper we will pre
sent a new approach for compressing stereo images based on
three algorithms; the first one is comparing the two images that perform the stereoscopic
view by noticing the great similarities between them and encoding the difference between
the two images instead of encoding the whole image. The second one is reducing the
redundancy between the Pixels using a 2D Digital Curvelet Transformation so we can
utilize the great ability to represent the curves in the image with minimum number of
coefficients. Then quantize them and remove undesirable coefficient. The low number of
coefficient contains most of image data. Last one is using Huffman Encoding and take
advantage of the lossless property so we can encode image and reduce the size of data
without getting any image distortion or lose any part of this image.
The performance of the proposed algorithm evaluated using Compression Ratio
standard which is the number of the image bits after compression to the number of the
original image bits before compression. Also, Peak Signal to Noise Ratio standard (PSNR)
which represent the similarity between the restored image and the original image. In final,
the Mean Square Error standard (MSE) which represent the error between the restored
image and original image.
In conclusion, the main objective here is to get the lowest rate for image compression
ratio with the highest value for the image quality PSNR at the lowest value of the errors
MSE.
Stereoscopic broadcast Tv systems,That is,Those capable of reproducing a Three-dimensional picture,give a better idea about The televised scene,enhance artistic impression,and make The reproduction more realistic so That The observer has The sensatio
n of being actually present at The scene of action. For a compatible 2-d/3-d colour Tv system The channel bandwidth should be twice That of The standard broadcast Tv channel. The search for ways and means of reducing The required bandwidth without an impairment in The quality of The colour 3-d picture is a major direction in work or such systems.
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