使用飞行时间相机的数据进行目标检测和分割

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2016-10-01 DOI:10.1109/ICAICT.2016.7991689

Timur Luguev, Aida Razakova

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引用次数: 1

摘要

解决了图像上的目标检测和每个检测到的目标对应的像素标记(分割)问题。在工作中，我们研究了深度数据的过滤和准备，从RGB-D图像中提取语义丰富的特征向量和分类方法，从而实现目标检测和分割。

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Object detection and segmentation using data from time-of-flight cameras

The problems of object detection on an image and labeling of pixels, corresponding to each detected object (segmentation) are solved. In the work we have examined such issues as filtering and preparation depth data, extraction of semantically rich features vectors from the RGB-D images and classification methods, allowing implementing the objects detection and segmentation.

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来源期刊

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)

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