tags : HT_Performance
0 : 1975 | Transformations for the Computer Detection of Curves in Noisy Pictures.pdf
1 : 1977 | On the detection of structures in noisy pictures.pdf
2 : 1978 | On the Hough Technique for Curve Detection.pdf
3 : 1979 | Geometric Constructions for Predicting Hough transform Performance.pdf
4 : 1981 | Algorithms for detecting M-dimensional objects in N-dimensional spaces.pdf
5 : 1981 | Discretization errors in the Hough transform.pdf
6 : 1983 | Inherent Bias and Noise in the Hough Transform.pdf
7 : 1986 | Contribution to the prediction of performances of the Hough transform.pdf
8 : 1987 | The Radon transform and its application to shape parametrization in machine vision.pdf
9 : 1987 | Improved localization in a generalized Hough scheme for the detection of straight edges.pdf
10 : 1988 | On improving the accuracy of the Hough transform theory simulations and experiments.pdf
11 : 1988 | Performance of the Hough transform and its relationship to statistical signal detection theory.pdf
12 : 1989 | Hough transform for line recognition complexity of evidence accumulation and cluster detection.pdf
13 : 1989 | Generalized neighborhoods A new approach to complex parameter feature extraction.pdf
14 : 1990 | Real-time 3D object tracking.pdf
15 : 1990 | The combinatorics of object recognition in cluttered environments using constrained search.pdf
16 : 1990 | On the sensitivity of the Hough transform for object recognition.pdf
17 : 1990 | Performance improvements to the Hough transform.pdf
18 : 1990 | Hough transform and signal detection theory performance for images with additive noise.pdf
19 : 1990 | Hypothesis testing A framework for analyzing and optimizing Hough transform performance.pdf
20 : 1991 | On navigating between friends and foes.pdf
21 : 1991 | Antialiasing the Hough transform.PDF
22 : 1991 | Connective hough transform.pdf
23 : 1991 | Probabilistic approach to the Hough transform.pdf
24 : 1992 | what's in a set of points.pdf
25 : 1992 | Modelling peak shapes obtained by Hough transform.pdf
26 : 1992 | Simple two-stage method for the accurate location of Hough transform peaks.pdf

tags : HT_Performance|HT_Preprocessing
0 : 1975 | Transformations for the Computer Detection of Curves in Noisy Pictures.pdf
1 : 1979 | Geometric Constructions for Predicting Hough transform Performance.pdf
2 : 1983 | Inherent Bias and Noise in the Hough Transform.pdf
3 : 1989 | Hough transform for line recognition complexity of evidence accumulation and cluster detection.pdf
4 : 1989 | Generalized neighborhoods A new approach to complex parameter feature extraction.pdf
5 : 1990 | Real-time 3D object tracking.pdf
6 : 1990 | The combinatorics of object recognition in cluttered environments using constrained search.pdf
7 : 1990 | Hough transform and signal detection theory performance for images with additive noise.pdf
8 : 1990 | On the sensitivity of the Hough transform for object recognition.pdf
9 : 1991 | Antialiasing the Hough transform.PDF
10 : 1991 | Probabilistic approach to the Hough transform.pdf
11 : 1991 | On navigating between friends and foes.pdf
12 : 1991 | Connective hough transform.pdf
13 : 1992 | what's in a set of points.pdf

tags : HT_Performance|HT_Postprocessing
0 : 1981 | Discretization errors in the Hough transform.pdf
1 : 1987 | The Radon transform and its application to shape parametrization in machine vision.pdf
2 : 1988 | On improving the accuracy of the Hough transform theory simulations and experiments.pdf
3 : 1990 | Performance improvements to the Hough transform.pdf
4 : 1990 | Hypothesis testing A framework for analyzing and optimizing Hough transform performance.pdf
5 : 1992 | Modelling peak shapes obtained by Hough transform.pdf
6 : 1992 | Simple two-stage method for the accurate location of Hough transform peaks.pdf

功能：

• 对不同尺寸、不同数量的矩形进行排布

视频文件1

视频文件2

下边是链接是demo的视频

里边有最基本的功能，

• 载入collada模型
• 调整模型的参数，位置，旋转角度，缩放比例
• 调整灯光的位置
• 保存和载入编辑后的场景
• 对animation做预览
• 输出视频

文件中的解析度高些文件1，文件2

预览

rt

tinysig overview

•    sigrenderer
•    application
  •    sigviewer
  •    sigeditor
  •    sigcad
  •    sigstock

目的：

   实验scene graph结构，是怎样适应于各种应用程序

   实验的应用领域： CAD， Stock graph, Map render

特性：

   sigrenderer:

      kdtree spatiatial partition management

      2D render optimize ( layer, attrset, lod )