GPU based saliency map generation and selective rendering paper.
標簽： generation rendering selective saliency
上傳時間： 2017-06-26
上傳用戶：cmc_68289287
gpu-Based Global Illumination Effects
標簽： Illumination gpu-Based Effects Global
上傳時間： 2017-09-01
上傳用戶：風之驕子
This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the gpu-Based implementation.
標簽： Tracking implements algorithm Feature
上傳時間： 2013-12-10
上傳用戶：trepb001
This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the gpu-Based implementation.
標簽： Tracking implements algorithm Feature
上傳時間： 2013-12-19
上傳用戶：WMC_geophy
Behavioral models are used in games and computer graphics for realistic simulation of massive crowds. In this paper, we present a GPU based implementation of Reynolds [1987] algorithm for simulating flocks of birds and propose an extension to consider environment self occlusion. We performed several experiments and the results showed that the proposed approach runs up to three times faster than the original algorithm when simulating high density crowds, without compromising significantly the original crowd behavior.
標簽： Behavioral simulation realistic computer
上傳時間： 2017-09-08
上傳用戶：hanli8870
Implementation of GPU (Graphics Processing Unit) that rendered triangle based models. Our goal was to generate complex models with a movable camera. We wanted to be able to render complex images that consisted of hundreds to thousands of triangles. We wanted to apply interpolated shading on the objects, so that they appeared more smooth and realisitc, and to have a camera that orbitted around the object, which allowed us to look arond the object with a stationary light source. We chose to do this in hardware, because our initial implementation using running software on the NIOS II processor was too slow. Implementing parallelism in hardware is also easier to do than in software, which allows for more efficiency. We used Professor Land s floating point hardware, which allowed us to do calculations efficiency, which is essential to graphics.
標簽： Implementation Processing Graphics rendered
上傳時間： 2014-11-22
上傳用戶：shawvi
3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
標簽： processing image reconstruction medical
上傳時間： 2013-12-19
上傳用戶：q123321
SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
標簽： SiftGPU implementation processes parallely
上傳時間： 2013-11-27
上傳用戶：zhangjinzj
資料->【E】光盤論文->【E1】斯坦福博士論文->02 calgary PhD A Java-Based Wireless Framework for Location-Based Services Applications.pdf
標簽： Location-Based Applications Java-Based Framework
上傳時間： 2013-07-02
上傳用戶：亞亞娟娟123
FPGA-based high-order FIR filter design
標簽： FPGA-based high-order filter design
上傳時間： 2013-08-06
上傳用戶：sssnaxie
