INTERIOR DECORATION USING AUGMENTED REALITY WITH COLOR
PERCEPTION
Roopa.D ,M.E.,(Ph.D),Assitant Professor Computer Science and Engineering
Jeppiaar Institute of Technology Chennai, India
Abstract - The hands of Augmented Reality has been widened in all the fields by using it we can able to merge the virtual world objects with the real world environment in the android platform. By using this application we can able to feel the visual appearance of the virtual object 3D-modelled furniture our real environment. This enables us to resize, look and feel the texture of the 3D objects also. Using this we can able to place the object and make changes in their appearance by changing the color of the object which is virtually placed in the real environment. This supports us to place the multiple similar objects in our camera screen. Here, we can able to read the recently accessed object which helps in resizing any objects that is place virtually on the screen. The major objective of the project is to resizing the object place and changing color of the 3D object placed in the environment.
Keywords: Augmented reality, Interior Decoration, resizing, virtual world.
I. INTRODUCTION
Augmented Reality (AR) technology has recently been a subject of much interest, and has being used widely on PC such as 3D-game playing and information searching. But now, thanks to the development of mobile hardware, this technology appears destined for the mobile market, brought AR into everyday life. There are several definitions in the literature for Augmented Reality. In 1994, Paul Milgram and Fumio Kishino provide taxonomy of mixed reality systems that include Virtual Reality (VR) and Augmented Reality (AR) apart from Augmented Virtuality (AV). Just a few years later, in 1997, Ronald Azuma defines Augmented Reality to be a technology that combines real environment surrounding with virtual objects. Azuma notes that Augmented Reality shares three common characteristics: Combines virtual characters with the actual world Interactive in real time Registered in 3D The 2011 annual Horizon Report published by the New Media Consortium (NMC) describes Augmented Reality as the following: “Augmented reality (AR) refers to the addition of a computer- assisted contextual layer of information over the real world, creating a reality that is enhanced or augmented
Combined with handheld displays, cameras, acceleration, compass, GPS sensors, Mobile Augmented Reality has been one of the fastest growing research areas in Augmented Reality, partially due to blending virtual imaging into the video stream of a mobile device's camera in real-time and ubiquitous platforms for supporting MAR. The MAR technology can be applied widely, such as in navigation, situational awareness, and geography located information.
Based on how augmented information is aligned with actual world, there are two primary types of MAR implementations: Marker less and Marker-Based. The key difference in Marker less AR is the method used to place virtual objects in the user’s view. Marker less AR typically uses the GPS feature of a smart phone to locate and interact with AR resources. Marker less AR is often more reliant on the capabilities of the device being used such as the GPS location, velocity meter, etc. With Marker less AR, no special markers are required. The software is able to recognize natural features, and more complex visual information. Aside from expanding the scope of what can be recognized and in turn augmented, it also opens up increased opportunities to create more natural interactions between digital and physical world elements which have the potential for a wide variety of applications. However, tracking and registration techniques are much more complex in Marker less AR.
Drawbacks of Marker less AR including real/virtual image discrepancy, system calibration, or registration problems such as observers fail to adjust their perceptions have to be overcome. When location data isn’t used, a marker is often used. Traditional markers, for example, data matrix codes and QR codes, need special black and white regions or codes to be recognized while Image Targets do not. However, in order to have more features to be found, high local contrast is needed. A Marker-based implementation utilizes the traditional marker, such as QR Code/2D barcode to produce a result when it is sensed by a reader, typically a camera mounted on the
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