Search Results for author: Laura Dörr

Found 4 papers, 1 papers with code

TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases

no code implementations19 Apr 2021 Laura Dörr, Felix Brandt, Alexander Naumann, Martin Pouls

While common image object detection tasks focus on bounding boxes or segmentation masks as object representations, we consider the problem of finding objects based on four arbitrary vertices.

Object Detection

An Image Processing Pipeline for Automated Packaging Structure Recognition

no code implementations29 Sep 2020 Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann

Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts.

Fully-Automated Packaging Structure Recognition in Logistics Environments

no code implementations11 Aug 2020 Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann

Within a logistics supply chain, a large variety of transported goods need to be handled, recognized and checked at many different network points.

Instance Segmentation Semantic Segmentation

Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection

1 code implementation28 Mar 2020 Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans

Our approach is motivated by logistics, where this assumption is valid and refined planes can be used to perform robust object detection without the need for supervised learning.

Edge Detection Robust Object Detection

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