Timber Tracing with Multimodal Encoder-Decoder Networks
Zolotarev, Fedor; Eerola, Tuomas; Lensu, Lasse; Kälviäinen, Heikki; Haario, Heikki; Heikkinen, Jere; Kauppi, Tomi (2019-08-22)
Post-print / Final draft
Zolotarev, Fedor
Eerola, Tuomas
Lensu, Lasse
Kälviäinen, Heikki
Haario, Heikki
Heikkinen, Jere
Kauppi, Tomi
22.08.2019
Lecture Notes in Computer Science
11679
342-353
Springer, Cham
Lecture Notes in Computer Science
School of Engineering Science
Kaikki oikeudet pidätetään.
© Springer Nature Switzerland AG 2019
© Springer Nature Switzerland AG 2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019110536719
https://urn.fi/URN:NBN:fi-fe2019110536719
Tiivistelmä
Tracking timber in the sawmill environment from the raw material (logs) to the end product (boards) provides various benefits including efficient process control, the optimization of sawing, and the prediction of end-product quality. In practice, the tracking of timber through the sawmilling process requires a methodology for tracing the source of materials after each production step. The tracing is especially difficult through the actual sawing step where a method is needed for identifying from which log each board comes from. In this paper, we propose an automatic method for board identification (board-to-log matching) using the existing sensors in sawmills and multimodal encoder-decoder networks. The method utilizes point clouds from laser scans of log surfaces and grayscale images of boards. First, log surface heightmaps are generated from the point clouds. Then both the heightmaps and board images are converted into ”barcode” images using convolutional encoder-decoder networks. Finally, the ”barcode” images are utilized to find matching logs for the boards. In the experimental part of the work, different encoderdecoder architectures were evaluated and the effectiveness of the proposed method was demonstrated using challenging data collected from a real sawmill.
Lähdeviite
Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, and Tomi Kauppi (2019) Timber Tracing with Multimodal Encoder-Decoder Networks. In: Vento M., Percannella G. (eds) Computer Analysis of Images and Patterns. CAIP 2019. Lecture Notes in Computer Science, vol 11679, p. 342-353. Springer, Cham. DOI: 10.1007/978-3-030-29891-3_30
Kokoelmat
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