An imitation of 3D projection mapping using augmented reality and shader effects

Pai, Hong-Yi

doi:10.1109/icasi.2016.7539879

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Enhancing visual performance using AR technology has become the trend for big brands to capture the market. An approach made by [9] presents an AR framework that uses AR and shader effects. Shaders are scripts that include the mathematical computations and techniques needed to compute the color of each rendered pixel.…”

Section: Related Workmentioning

confidence: 99%

Pose estimation algorithm for mobile augmented reality based on inertial sensor fusion

Alam

Morshidi

Gunawan

et al. 2022

IJECE

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<span>Augmented reality (AR) applications have become increasingly ubiquitous as it integrates virtual information such as images, 3D objects, video, and more to the real world, which further enhances the real environment. Many researchers have investigated the augmentation of the 3D object on the digital screen. However, certain loopholes exist in the existing system while estimating the object’s pose, making it inaccurate for mobile augmented reality (MAR) applications. Objects augmented in the current system have much jitter due to frame illumination changes, affecting the accuracy of vision-based pose estimation. This paper proposes to estimate the pose of an object by blending both vision-based techniques and micro electrical mechanical system (MEMS) sensor (gyroscope) to minimize the jitter problem in MAR. The algorithm used for feature detection and description is oriented FAST rotated BRIEF (ORB), whereas to evaluate the homography for pose estimation, <a name="_Hlk100294718"></a>random sample consensus (RANSAC) is used. Furthermore, gyroscope sensor data is incorporated with the vision-based pose estimation. We evaluated the performance of augmenting the 3D object using the techniques, vision-based, and incorporating the sensor data using the video data. After extensive experiments, the validity of the proposed method was superior to the existing vision-based pose estimation algorithms.</span>

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Section: Related Workmentioning

confidence: 99%

Pose estimation algorithm for mobile augmented reality based on inertial sensor fusion

Alam

Morshidi

Gunawan

et al. 2022

IJECE

View full text Add to dashboard Cite

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“…Shader effects is used to make 3-Dimentinal model of Augmented Reality more realistic. Due to such [5] kinds of effects the 3D model becomes realistic which will catch users eyes and leaves good impression about the product made of AR based GUIs. The tools used to impart shader properties on 3D models are Unity Engine and Vuforia.…”

Section: Shader Effectsmentioning

confidence: 99%

Review on Learning based Interface Modelling using Augmented Reality

Indalkar¹,

Gunjal²,

Satao³

et al. 2017

International Journal of Advanced Research in Computer and Comm

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Augmented Reality (AR) is a widely growing field with a lot of scope in future. The learning aspects of AR have been widely studied from student's perception and learning effectiveness using AR. Making use of interactive concepts involving user involvement (via speech, actions, gestures) such as AR based User Interfaces(UIs) increases the efficiency of user learning. Augmented Reality can be used as learning element where user interacts with the developed augmented reality based Graphical user interface (GUI) to understand the different concepts which the user wants to learn. It helps the user for easy learning and better understanding of various concepts to be learned.

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