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.
Camera calibration has always been an essential component of photogrammetric
measurement, especially in high-accuracy close-range applications. Although the rapid
growth in adoption of digital cameras in 3D measurement applications, there are many
situations where the geometry of the image network will not support robust recovery of
camera parameters via on-the-job calibration. For this reason, stand-alone camera
calibration has again emerged as an important issue in photogrammetry and computer
vision.
In this paper, we give a rapid overview of the approaches adopted for camera
calibration in photogrammetry and computer vision. Also, we compare the method of selfcalibration,
largely used in photogrammetry, with the tow-steps method applied in
computer vision for digital camera calibration.
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.
In this research, we define the concept of visual saliency in biology
and how it is described in computer science using the concept of
saliency maps, and how to use these maps to detect salient
objects in digital images. We also conduct experiment
s using
several algorithms to detect salient objects, and describe how to
quantify the quality of the results using clear and well-defined
standards.
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 مر
بوطة. 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.
The extraction and analysis of human gait characteristics using image sequences is currently an intense area of research. Recently, the focus of this research area has turned to the realm of computer vision as a way of performing quickly and ac
curately gait analysis system. Such a system could be used as a preprocessing step in a more sophisticated gait analysis system or could be used for rehabilitation purposes.In this thesis, a new method is proposed which utilizes a novel fusion of spatial computer vision operations as well as motion in order to accurately and efficiently determine the center of mass of a walking person at a video scene. Then we make a comparison between our method’s results and the inverted pendulum model of the movement's center of mass of a walking person in the XY plane. The results showed a significant correspondence between the model and the results we have obtained, which opens the way for further research to discover defects walking or develop algorithms for humanoid robots.
