pls sent about analysis of quality of object oriented systems using object oriented metrics ppt
thanku. ....etc

[:=Read Full Message Here=:]

Hello,
Here I want to get help about the image processing. Here I want to inform that I am using a webcam. I want to differentiate between the objects of the same size but having different coloures. The object is the ball of 50mm diameter. It can be of three different coloures- red, blue or black. Please let me know how I can track that ball and estimate, where the ball would be after some certain time or when and where it will reach. The ball is rolled on a ramp.
Thank you.... ....etc

[:=Read Full Message Here=:]

ABSTRACT
Current authentication systems suffer frommany weaknesses. Textual passwords are commonly used;however, users do not follow their requirements. Users tend tochoose meaningful words from dictionaries, which make textualpasswords easy to break and vulnerable to dictionary or bruteforce attacks. Many available graphical passwords have apassword space that is less than or equal to the textual passwordspace. Smart cards or tokens can be stolen.Many biometric authentications have been proposed;however, users tend to resist using bio ....etc

[:=Read Full Message Here=:]

Abstract
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based algorithm which performs this task automatically and efficiently. A 3D model of an object is automatically constructed offline from its multiple unordered range images (views). These views are converted into multidimensional table representations (which we refer to as tensors). Correspondences are automatically established between thes ....etc

[:=Read Full Message Here=:]

ABSTRACT

Template matching is an object detection technique in image processing to find small parts of an image which match a template image. There are many methods one can adopt for this purpose.

Matching can be Template based, in which case every pixel that contributes to the template may be matched against every pixel of the image using any means of comparison (eg. SAD, SSD, cross-correlation), or it can me Feature based, where the matching is on the basis of some strong features that the template ma ....etc

[:=Read Full Message Here=:]

1. INTRODUCTION

There is a saying in real estate; when land get expensive, multi-storied buildings are the alternative solution. We have a similar situation in the chip industry. For the past thirty years, chip designers have considered whether building integrated circuits multiple layers might create cheaper, more powerful chips.

Performance of deep-sub micrometer very large scale integrated (VLSI) circuits is being increasingly dominated by the interconnects due to increasing wire pitch and increasing die size. A ....etc

[:=Read Full Message Here=:]

please upload report and slide of three dimensional computer processor ....etc

[:=Read Full Message Here=:]

High-Resolution Three-Dimensional Sensing of Fast Deforming Objects


Motivations

Considerable research on sensing 3D geometry of objects

Focused on rigid objects and static scenes

Moving and deforming objects found in many applications

Motivational Applications

Navigation in dynamic environments

Object recognition

Human tissue modeling for surgical simulation and planning

Robotic manipulation of fabric and rope


Limitations ....etc

[:=Read Full Message Here=:]

Abstract
The ear is a promising candidate for biometric identification. However, in prior work, the pre-processing of ear images has had manual steps, and algorithms have not neces- sarily handled problems caused by hair and earrings. This seminar present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recog- nition. and evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.6%.for ear ....etc

[:=Read Full Message Here=:]

INTRODUCTION
Image Reconstruction
As name implies it is the process of reconstructing the three dimensional
shape of a single frame image.
principle
The principle of 3D-reconstruction is that, the object's three dimensions
are acquired by the conversion from the shade of gray to the depth of the
information of the image.


The basic design concept
The object surface shadeof gray can be expressed as
E(x,y) = I(x,y)cos
Where
I(x,y) = Light intensity of the optical source.
 = Object surface re
ecti ....etc

[:=Read Full Message Here=:]