Real-time computer-generated integral image based on GPU-driven cross perspective rendering pipeline

2021 ◽  
Vol 60 (02) ◽  
Author(s):  
Yanxin Guan ◽  
Xinzhu Sang ◽  
Shujun Xing ◽  
Yuanhang Li ◽  
Yingying Chen ◽  
...  
Keyword(s):  
Real Time ◽  
Integral Image ◽  
Rendering Pipeline

scholarly journals Pendeteksi Wajah Secara Real Time pada 2 Degree of Freedom (DOF) Kepala Robot Menggunakan Deep Integral Image Cascade

CYCLOTRON ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Dwi Agung Ayubi ◽  
Dwi Arman Prasetya ◽  
Irfan Mujahidin
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Humanoid Robot ◽  
Degree Of Freedom ◽  
Raspberry Pi ◽  
Cascade Classifier ◽  
Integral Image ◽  
Haar Cascade ◽  
Time Accuracy ◽  
Face Detector

Abstrak— Teknologi Robot merupakan karya terbaik yang sangat penting bagi kehidupan manusia modern saat ini untuk mempermudah semua pekerjaan manusia. Perkembangan dunia robot saat ini akan difokuskan pada robot yang memiliki fitur mirip manusia. Bahkan diharapkan memiliki kemampuan berinteraksi dan berperilaku seperti manusia yaitu robot humanoid, mekanisme dari gerakan robot humanoid memiliki derajat kebebasan Degree of Freedom (DOF). Layaknya pada manusia robot diberi kemampuan penglihatan untuk mendeteksi adanya objek yang ditangkap secara real time Penelitian kepala robot 2 degree of freedom (DOF) untuk pendeteksi wajah secara real time menggunakan metode Deep Integral Image Cascade untuk deteksi wajahnya. Untuk keakurasian pendeteksi wajah dengan real time pada penelitian ini dengan pengujian akurasi terbesar adalah 95,25% dengan waktu respons pendeteksi tercepat 7 detik dengan waktu terlama 8,55 second rata-rata data citra semuanya tidak terdeteksi dengan benarKata kunci: Raspberry pi, Pendeteksi wajah, Degree of freedom, Haar cascade classifier, Robot kepalaAbstract— Robot technology is the best work that is very important for modern human life today to facilitate all human work. The development of the robot world today will be focused on being a robot that has human-like features. Even expected to have the ability to interact and behave like a humanoid robot, the mechanism of humanoid robot movement has a degree of freedom of Degree of Freedom (DOF). Like in the robot man is given the ability of vision to detect the presence of objects captured in real time robotic head Research 2 degree of freedom (DOF) for face detection in real time using the Deep Integral Image Cascade method to Face Detection.  For the real-time accuracy of the face detector in this research with the greatest precision testing is 95.25% with the fastest detection response time of 7 seconds with the oldest time 8.55 second the average image data everything is not detected with Really.Keywords: Raspberry Pi, face detector, Degree of freedom, Haar Cascade classifier, Robot head

scholarly journals A Hybrid GPU Rasterized and Ray Traced Rendering Pipeline for Real Time Rendering of Per Pixel Effects

2012 ◽  
pp. 292-305 ◽  
Author(s):  
Thales Luis Sabino ◽  
Paulo Andrade ◽  
Esteban Walter Gonzales Clua ◽  
Anselmo Montenegro ◽  
Paulo Pagliosa
Keyword(s):  
Real Time ◽  
Rendering Pipeline

scholarly journals Rendering the Real-Time Caustics with DirectX Raytracing

2021 ◽  
Author(s):  
Egor Komarov ◽  
Dmitry Zhdanov ◽  
Andrey Zhdanov
Keyword(s):  
Real Time ◽  
Virtual World ◽  
Real Life ◽  
Light Sources ◽  
Arbitrary Geometry ◽  
The Real ◽  
Virtual Camera ◽  
Current Article ◽  
Game Industry ◽  
Rendering Pipeline

Caustic illumination frequently appears in the real life, however, this type of illumination is especially hard to be rendered in real-time. Currently, some solutions allow to render the caustic illumination caused by the water surface, but these methods could not be applied to the arbitrary geometry. In the scope of the current article, we present a method of real-time caustics rendering that uses the DirectX Raytracing API and is integrated into the rendering pipeline. The method is based on using additional forward caustic visibility maps and backward caustics visibility maps that are created for light sources and the virtual camera correspondingly. The article presents the algorithm of the developed real-time caustics rendering method and the results of testing its implementation on test scenes. The analysis of the dependence of the rendering speed on the depth of specular ray tracing, the number of light sources, and the number of rays per pixel is carried out. Testing shows promising results which can be used in the modern game industry to increase the realism of the virtual world visualization.

INCORPORATING GEOMETRIC REGISTRATION WITH PC-CLUSTER RENDERING FOR FLEXIBLE TILED DISPLAYS

2004 ◽  
Vol 04 (04) ◽  
pp. 683-700 ◽  
Author(s):  
MICHAEL S. BROWN ◽  
W. BRENT SEALES
Keyword(s):  
Real Time ◽  
Display System ◽  
Pc Cluster ◽  
Cluster Rendering ◽  
Short Period ◽  
Tiled Displays ◽  
Rendering Pipeline ◽  
Rendering Engine

We describe a display system that automatically registers an array of casually positioned projectors and drives the display with a PC cluster. The display system uses a camera to compute the necessary transformations to geometrically align multiple overlapping projectors. Geometric alignment is realized through real-time corrective warping applied in the rendering pipeline. This combination of camera-aided display alignment with the PC-cluster rendering engine provides a display system that is easy to configure and reconfigure, accommodates casually tiled projectors and arbitrary display surfaces, and can be operational in a very short period of time.

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