Longitudinal motion stereo problem: A CNN approach

Sergio Taraglio, Andrea Zanela, Antonio Pellecchia

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

A CNN based approach to the resolution of the longitudinal motion stereo vision problem is presented. Because of the geometry of the system, through the use of a reference transform in the image sequence, the correlation of pixels between image frames can be performed with a static stereo vision algorithm, the Stereo-CNN. Results on real images are presented.
Original languageEnglish
Publication statusPublished - 2000
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - , Unknown
Duration: 1 Jan 2000 → …

Conference

ConferenceProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CountryUnknown
Period1/1/00 → …

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Taraglio, S., Zanela, A., & Pellecchia, A. (2000). Longitudinal motion stereo problem: A CNN approach. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Unknown.