Searched for: subject:"vision"
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Mazire, Animesh (author)
Pyropower is a startup active in the field of biochar systems. Pyropower is active in the country of Malawi (Africa) and Indonesia where Pyropower is proposing new technology to farmers to solve their problems. In June 2020, Pyropower launched Europe project, and in European context as well, Pyropower wants to implement the biochar system. This...
master thesis 2021
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de Winkel, K.N. (author), Edel, Ellen (author), Happee, R. (author), Bülthoff, Heinrich H. (author)
Percepts of verticality are thought to be constructed as a weighted average of multisensory inputs, but the observed weights differ considerably between studies. In the present study, we evaluate whether this can be explained by differences in how visual, somatosensory and proprioceptive cues contribute to representations of the Head In Space ...
journal article 2021
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Cardinale, Lorenzo (author)
Breaking water waves still represent a very active research area, as they are involved in a broad spectrum of situations ranging from safety at sea to climate change. The detailed knowledge of the location of the free surface in case of breaking waves or wave impacts could prevent structural damages, increase the efficiency of ship hulls and...
master thesis 2020
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Lang, Kang (author)
Although the pixel-wise labelling approaches have been exploited in depth and achieve good results in segmentation tasks, the grouped pixels are not ideal output for many end-users. In this paper, we propose a vertex-voting-based approach that can directly extract the polygon representations of objects. In order to better solve overlapping...
master thesis 2020
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de Haan, Taeke (author)
In this thesis, a geometry-based grasping method for vine-tomato is proposed. The method utilizes a geometric model of the robotic hand and truss to determine an optimal grasping location on the truss stem. This allows grasping a truss without requiring delicate contact sensors or complex mechanical models. A computer vision pipeline is...
master thesis 2020
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Rajput, Pranjal (author)
Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating bounding boxes in such large-scale datasets is cost-inefficient....
master thesis 2020
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Choi, Yapkan (author)
Person re-identification based on appearance is challenging due to varying views and lighting conditions in different cameras, or when multiple persons wear similar clothing styles and color. Considering these challenges, gait patterns provide an alternative to appearance, as gait can be captured from a distance and at a low resolution. In this...
master thesis 2020
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Barad, K.R. (author)
Autonomous vision-based navigation is a crucial element for space applications involving a potentially uncooperative target, such as proximity operations for on-orbit servicing or active debris removal. Due to low mass and power characteristics, monocular vision sensors are an attractive choice for onboard vision-based navigation systems. This...
master thesis 2020
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van de Scheur, Jelmer (author)
This thesis proposes a strategy in the form of a design roadmap in order to enhance the E-loyalty (brand loyalty) of the E-commerce company Home Design Shops.The past 10 years internet retail sales have been rapidly growing. The gradual...
master thesis 2020
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Zia, Noor ul Sehr (author)
A good action proposal method should generate proposals with high recall and high temporal overlap with groundtruth. The quality of the proposals relies on the labeled data available during training. Obtaining labeled data for untrimmed videos is a time consuming, expensive and error-prone task. The labels obtained are also subjective and the...
master thesis 2020
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Pytel, Rafal (author)
Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effects of the attacks are systematically analyzed on the best-performing methods. In addition, we propose occlusion specific data augmentation techniques against keypoint and part attacks. Our extensive...
master thesis 2020
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Simion-Constantinescu, Andrei (author)
This thesis presents a novel self-supervised approach of learning visual representations from videos containing human actions. Our approach tackles the complex problem of learning without the need of labeled data by exploring to what extent the ideas successfully used for images can be transferred, adapted and extended to videos for action...
master thesis 2020
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Huang, Yu-Chih (author)
Teleoperation of a robot is often necessary when the remote site is not safe for humans. Moreover, to interact with dynamic environments safely, a teleoperation method called teleimpedance, which allows the human operator to control the impedance of the robot, is used. The main drawback of this method is that the human workload may increase....
master thesis 2020
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Datta, Leonid (author)
Training Convolutional Neural Network (CNN) models is difficult when there is a lack of labeled training data and no unlabeled data is available. A popular method for this is domain adaptation where the weights of a pre-trained CNN model are transferred to the problem setup. The model is pre-trained on the same task but in a different domain...
master thesis 2020
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Cian, David (author)
In this paper, we run two methods of explanation, namely LIME and Grad-CAM, on a convolutional neural network trained to label images with the LEGO bricks that are visible in them. We evaluate them on two criteria, the improvement of the network's core performance and the trust they are able to generate for users of the system. We nd that in...
bachelor thesis 2020
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Bos, Martijn (author)
In this paper, a method is proposed to automatically correct misalignment of orthophotos in time-series caused by an inaccurate geotransform. The proposed method relies on common literature concepts such as keypoint identification, keypoint matching, and model fitting using random sample consensus (RANSAC). Traditional keypoint identification...
master thesis 2020
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El Haji, Khalid (author), Posner, Noah (author), Ilbaş, Hakan (author), Karpuz, Sergen (author), Wernet, Victor (author)
As the population increases so does the waste that is generated. Manually recycling waste is expensive and slow. Computer Vision (CV) solutions aim to make this less expensive and faster. Lots of data of this waste (thousands of images) is needed to train these CV solutions. This project, called Synthetic Waste Generator (SWaG) can create...
bachelor thesis 2020
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Kam, Berend (author)
Data collection and annotation have proven to be a bottleneck for computer vision applications. When faced with the task of data creation, alternative methods to traditional data collection should be considered, as time and cost may be reduced signif- icantly. We introduce three novel datasets for multi- label classification purposes on LEGO...
bachelor thesis 2020
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Abderrazik, Hiba (author)
The benchmarks for the accuracy of the best performing object detectors to date are usually based on homogeneous datasets, including objects such as vehicles, people, animals and foods. This excludes a whole set of scenarios containing small, cluttered and rotated objects. This paper selects a state-of-the-art object detection model, Faster R...
bachelor thesis 2020
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Chi, Shudan (author)
Scania is one of the world-leading manufacturers of trucks and buses for heavy transport, combined with an extensive product-related service offering. This thesis proposes a data-driven service innovation strategy to leverage the potential of data and data intelligence for Scania's future business in the truck segment. The freight transport...
master thesis 2020
Searched for: subject:"vision"
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