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TABLE 2 PARTICULAR DIFFERS VIRTUAL REALITY AUGMENTED REALITY 1 PURPOSE It creates own It enhances reality that is experiences by adding completely computer generated and driven. virtual components such as digital images, graphics, or sensations as a new layer of interaction with the real world. 105
2 DELIVERY METHOD It is usually delivered to the user through a headmounted, or hand- held controller. It is being used more and more in mobile devices such as laptops, smart phones, and tablets to change how the real world. CHALLENGES IN VR WITH VE Terminology in the virtual reality sector is fast changing. It’s argued that the first virtual reality devices emerged decades ago, but the experience they provided is entirely different to the virtual experience of today. As virtual reality becomes more intertwined with our daily lives, we start to think in terms of virtual environment. We can also define virtual enjoyment, which includes any virtual experience provided for pure entertainment – gaming, movies, videos and social skills for example – leaving more serious elements of virtual reality including training, education, and healthcare applications. Understanding how virtual reality works is crucial to being able to acknowledge this powerful technology honestly. It provides each of our senses with information to immerse us in a virtual experience, a near real experience – which our minds and bodies almost completely perceive as real. 106
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A STUDY ON BIOMETRIC IMAGE PROCESSI
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Binarization converts gray scale im
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MOBILE SENSING ON INTERNET OF THING
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4) Feedback applications These inco
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e said as a factor which is seen he
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Net, process the quickening, separa
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1. Regular Sensing A portion of the
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CONCLUSION This paper is an overvie
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SURVEY ON IMAGE PROCESSING METHODS
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transforming different sets of data
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evaluating the food products qualit
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AN OVERVIEW OF CLOUD COMPUTING R. T
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CHARACTERISTICS OF THE CLOUD ‣ Th
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differ in the amount of control tha
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Improved performance o With few lar
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o Sharing documents leads directly
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CONCLUSION To summarize, the cloud
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Image Acquisition Image Pre- Proces
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ARTIFICIAL NEURAL NETWORK Descripti
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Disadvantages 1. Result transparenc
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Fig. 1: A Fingerprint Clarification
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FINGERPRINT ACQUISITION DEVICES Thi
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This strategy naturally creates art
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from every member (thumb, fore, and
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STORING AND VISUALIZTION OF 3D MODE
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MRI what could be compared to impro
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A STUDY ON DIGITAL IMAGE PROCESSING
Page 56 and 57: TECHNOLOGY The first animation film
Page 58 and 59: ROAD TRAFFIC SURVEILLANCE AND ACCID
Page 60 and 61: There are numerous crisis circumsta
Page 62 and 63: 2) Power supply The propose framewo
Page 64 and 65: B. Goal of Research To review break
Page 66 and 67: was done on two dataset VIRAT and M
Page 68 and 69: STUDY ON IMAGE PROCESSING IN SECURI
Page 70 and 71: OBJECT RECOGNITION Object recogniti
Page 72 and 73: CONCLUSION A banking locker securit
Page 74 and 75: INTRODUCTION In digital image proce
Page 76 and 77: 3. TYPES OF DIGITAL CAMERA Com
Page 78 and 79: Most of the work done in image fore
Page 80 and 81: RAINFALL PREDICTION The paper is ab
Page 82 and 83: Also the cloud mask algorithm is us
Page 84 and 85: BIBLIOGRAPHY Watch "Intro
Page 86 and 87: INTRODUCTION In biological science,
Page 88 and 89: ) Viral disease symptoms: Among all
Page 90 and 91: ANALYSIS ON NETWORK SECURITY S.Kart
Page 92 and 93: Data Integrity - assurance that dat
Page 94 and 95: those who know the particular key u
Page 96 and 97: CONCLUSION It's important to build
Page 98 and 99: A STUDY ON DIGITAL IMAGE PROCESSING
Page 100 and 101: Methodology This has two stages, fi
Page 102 and 103: REFERENCES 1) Digital Image Process
Page 104 and 105: VIRTUAL REALITY TECH AND WORKINGS A
Page 108 and 109: The Big challenges in the field of
Page 110 and 111: STUDY ON REMOTE SENSING IN DIGITAL
Page 112 and 113: Scientists have made significant ad
Page 114 and 115: CONCLUSION Digital Image Processing
Page 116 and 117: By depiction, huge information in h
Page 118 and 119: Structured data denotes the tabular
Page 120 and 121: B. Algorithmic techniques Huge info
Page 122 and 123: Corridor laid out a strategy for bu
Page 124 and 125: subset can't be part and is for the
Page 126: REFERENCES 1. Alexandros Labrinidis
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