Hybrid Ray Tracing FDTD UWB-Model for Object Recognition

Hybrid Scheduling for Parallel Ray Tracing Hybrid Scheduling for Parallel Ray Tracing

Preface Ray tracing is an easy algorithm to explain, but difficult to implement efficiently. And even then performance is a difficult issue, which calls for every sequential and parallel optimisation that one can think of. This report relates a number of design choices which allowed a sequential ray tracer to evolve into a system for parallel ray tracing and is the result of a two-year (TWAIO) ...

Object Space Temporal Coherence for Ray Tracing

A method is presented for exploiting object space temporal coherence to speed up ray tracing of animation sequences where the camera remains static. The object space is subdivided with a hierarchical voxel grid structure. Each voxel keeps a list of the rays that pass through it when the first frame of a sequence is rendered. To render a successive frame, only rays that passed through voxels in ...

a computational visual neuroscience model for object recognition

in this study with the inspirations from both neuroscience and computer science, a combinatorial framework for object recognition was proposed having benefited from the advantages of both biologically-inspired hmax_s architecture model for feature extraction and extreme learning machine (elm) as a classifier. hmax model is a feed-forward hierarchical structure resembling the ventral pathway in ...

A random-ray model for Visual Search and Object Recognition

Hybrid Scheduling for Efficient Ray Tracing of Complex Images

Ray tracing is a powerful technique to generate realistic images of 3D scenes. A drawback is its high demand for processing power. Multiprocessing is one way to meet this demand. However, when the models are very large, special attention must be paid to the way the algorithm is parallelised. Combining demand driven and data parallel techniques provides good opportunities to arrive at an efficie...