A Method for Estimating the Camera Parameters Based on Vanishing Points
| Autor: | Jin Huazhong, Lei GuangBo, Li HaiNing, Ruan Ou, Wan Fang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Pixel
Computer science 020208 electrical & electronic engineering 02 engineering and technology Parameter space Line segment Camera auto-calibration Position (vector) Expectation–maximization algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Vanishing point Cluster analysis Algorithm |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319615653 CISIS |
| DOI: | 10.1007/978-3-319-61566-0_45 |
| Popis: | This paper presented MMVD vanishing points detection algorithm which was inspired by multi-model estimation. It was operated in image pixel space, not parameter space. We first gave some vanishing points estimation model assumption based on the lines’ position and angle of each other. Then, the model assumption was used to construct the correlation matrix for line segments clustering and vanishing points estimation. Clustering algorithm produced vanishing points and they were refined by the EM algorithm to improve the accuracy. Experiments showed that the detection speed was good and the detection result can ensure good accuracy. |
| Databáze: | OpenAIRE |
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