EVALUATION OF DEPTH MODALITY IN CONVOLUTIONAL NEURAL NETWORK CLASSIFICATION OF RGB-D IMAGES
This paper investigates the value of depth modality in object classification in RGB-D images. We use a simple model based on a multi-layered convolutional neural network which we train on a dataset of segmented RGB-D images of household and office objects. We evaluate and quantify the benefit of add...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2019-01-01
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| Series: | Acta Electrotechnica et Informatica |
| Subjects: | |
| Online Access: | http://www.aei.tuke.sk/papers/2018/4/04_Varga.pdf |