A Graphics Hardware Implementation of the Generalized Hough Transform for fast Object Recognition, Scale, and 3D Pose Detection

March 16th, 2004

This paper presents an implementation of the Generalized Hough Transform (GHT) in DX8 graphics hardware. Given the 3D geometry of an object, the GHT is used to determine its pose, scale and position in an uncalibrated image. Without any a-priori knowledge about the image many different poses and scales must be tested. The implementation achieves a considerable speedup by increasing the operation count in favor of a data stream processing of the otherwise irregular memory access pattern of the GHT. The additional operations are used to regularize the problem, decreasing the number of the required candidate poses. (A Graphics Hardware Implementation of the Generalized Hough Transform for fast Object Recognition, Scale, and 3D Pose Detection. Robert Strzodka, Ivo Ihrke and Marcus Magnor in Proceedings ICIAP 2003, pp. 188-193, 2003.)

GlipKit: GL Image Processing Kit

December 8th, 2003

GlipKit is a small library that provides a few hardware-accelerated implementations of computational stereo methods. The library currently provides disparity matchers (hierarchical & non-hierarchical, with optional back-matching) and a shape from stereo implementation based on a plane-sweeping approach. The library is currently biased toward ATI cards (due to the use of the ATI_fragment_shader OpenGL extension). (GlipKit hardware-accelerated image processing toolkit.)

Hardware-accelerated Visual Hull Reconstruction and Rendering

June 30th, 2003

This paper by Li et al. proposes a method for reconstruction and rendering visual hulls using programmable graphics hardware. The visual hull is an approximate 3D geometry representation that is reconstructed from multiple silhouette images. Projective texture mapping and alpha channel modulation are exploited to reconstruct visual hulls implicitly in image-space. View-dependent textures can be applied in the same rendering pass. The performance of this approach is significantly faster than that of previously reported similar systems. (Hardware-accelerated Visual Hull Reconstruction and Rendering. In Proceedings of Graphics Interface 2003).

Real-Time Consensus-Based Scene Reconstruction using Commodity Graphics Hardware

November 16th, 2002

This Pacific Graphics 2002 paper by Ruigang Yang et al. of UNC Chapel Hill describes a GPU acclerated method for online 3D scene acquisition and view-synthesis from multiple camera streams. (Real-Time Consensus-Based Scene Reconstruction using Commodity Graphics Hardware. Ruigang Yang, Greg Welch, Gary Bishop. In Proceedings of Pacific Graphics 2002.)

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