โ Scribed by Sergio Taraglio; Andrea Zanela
No coin nor oath required. For personal study only.
Improving a Real-Time Neural-Based Stereo Vision System R efinements of the energy expression of a real-time neural-based stereo vision system are presented. The neural network optimizes a scalar functional, that represents an area-based stereo matching algorithm. The neural system is reviewed and its performances presented. The proposed improvements are in terms of the exploitation of the image chromatic content and of local pixel information relative to the distance from an image feature. Experimental results showing the performance improvements are presented on synthetic and on real images. The hardware implementation currently in progress will straightforwardly benefit from these improvements.
๐ SIMILAR VOLUMES
We developed a personal computer-based machine vision system and applied it in computer-aided potato inspection. The system was able to classify 50 potato images per second for potato weight, cross-sectional diameter, shape, and color, which are the important criteria in sorting potatoes in practice
This article describes the architecture of a digital signal processor (DSP)-based real-time video communications system and the implementation of the ITU-T H.263 video coding standard on the system. The system incorporates a Texas Instruments TMS320C80 Multimedia Video Processor (MVP), a high-perfor