scholarly journals Real Time Shadow Mapping for Augmented Reality Photorealistic Rendering

2019 ◽  
Vol 9 (11) ◽  
pp. 2225 ◽  
Author(s):  
Francesco Osti ◽  
Gian Maria Santi ◽  
Gianni Caligiana
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Real Life ◽  
Shadow Mapping ◽  
Photorealistic Rendering ◽  
Real Time Image ◽  
Image Capturing ◽  
Microsoft Hololens ◽  
The Right ◽  
Time Image

In this paper, we present a solution for the photorealistic ambient light render of holograms into dynamic real scenes, in augmented reality applications. Based on Microsoft HoloLens, we achieved this result with an Image Base Lighting (IBL) approach. The real-time image capturing that has been designed is able to automatically locate and position directional lights providing the right illumination to the holograms. We also implemented a negative “shadow drawing” shader that contributes to the final photorealistic and immersive effect of holograms in real life. The main focus of this research was to achieve a superior photorealism through the combination of real-time lights placement and negative “shadow drawing” shader. The solution was evaluated in various Augmented Reality case studies, from classical ones (using Vuforia Toolkit) to innovative applications (using HoloLens).

Catching the Right Bus, Part VI: Some Options for Real-Time Image Acquisition

1995 ◽  
Vol 9 (5) ◽  
pp. 496
Author(s):  
Gary Forrest ◽  
Scott McKinney ◽  
James R. Matey
Keyword(s):  
Real Time ◽  
Image Acquisition ◽  
Real Time Image ◽  
The Right ◽  
Time Image

Image Capturing and Segmentation Method for Characters Marked on Hot Billets

2014 ◽  
Vol 945-949 ◽  
pp. 1830-1836 ◽  
Author(s):  
Qi Jie Zhao ◽  
Peng Cao ◽  
Qing Xu Meng
Keyword(s):  
Real Time ◽  
Correction Method ◽  
Segmentation Method ◽  
Color Information ◽  
Skew Correction ◽  
Production Environments ◽  
Real Time Image ◽  
Image Capturing ◽  
Acquisition Device ◽  
Time Image

Real-time detecting information marked on billets is important for automatically manufacturing and management in steelworks. But due to the tough production environments in steel enterprises, capturing and identifying characters marked on hot billets have many challenges. This paper presents a real-time image capturing and segmenting method with machine vision for characters marked on hot billets, and characters area is located based on color information of images. Furthermore, considering the marked characters are often slant, we proposed a kind of characters skew correction method to adjust the alignment of characters, and then segment characters into singles for recognition. Finally, with the proposed method, we have conducted some experiments in Baosteel Company. The result shows that our method can achieve 97% segmentation rate if we select proper image acquisition device and preprocessing algorithm. Additionally, it provides a new way for steel enterprise real-time capturing and segmenting marked characters image.

The Use of Real-Time Image Stabilization and Augmented Reality Eyewear in the Treatment of Oscillopsia

2012 ◽  
Vol 146 (6) ◽  
pp. 966-971 ◽  
Author(s):  
David D. Pothier ◽  
Cian Hughes ◽  
Wanda Dillon ◽  
Paul J. Ranalli ◽  
John A. Rutka
Keyword(s):  
Visual Acuity ◽  
Augmented Reality ◽  
Real Time ◽  
Head Movement ◽  
Dynamic Visual Acuity ◽  
Vestibular Loss ◽  
Image Stabilization ◽  
Bilateral Vestibular Loss ◽  
Real Time Image ◽  
Time Image

Objectives/Hypothesis. The symptom of oscillopsia in patients with bilateral vestibular loss (BVL) can be reduced as dynamic visual acuity (DVA), the reduction in visual acuity during head movement, is improved by using real-time image stabilization, delivered by augmented reality eyewear. Setting. Tertiary multidisciplinary neurotology clinic. Study Design. Prospective experimental study. Methods. Immersive virtual reality glasses used in combination with a compact digital video camera were used. A software algorithm was developed that used a center-weighted Lucas-Kanade optical flow method to stabilize video in real time. Six patients with BVL were tested for changes in DVA using the eyewear. The ability to read a Snellen chart during a 2-Hz oscillating head rotation DVA test was measured. Results. For combined scores of vertical and horizontal head rotations, the mean number of lines readable at rest was 7.86, which dropped to 2.77 with head movement (a combination of vertical and horizontal perturbations). This increased to a mean of 6.14 lines with the image stabilization software being activated. This difference was statistically significant ( P < .001). Conclusion. This is the first successful attempt to improve dynamic visual acuity in patients with bilateral vestibular loss. Recent hardware upgrades are promising in improving these results even further.

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