- document
-
Wang, Chuhan (author)3D scene reconstruction is a common computer vision task with many applications. The synthesized virtual environments are beneficial for many downstream applications such as 3D modeling, building inspection, virtual reality, etc. As conventional scene reconstruction methods often require expensive data collections and prior information on the...master thesis 2022
- document
-
Bi, Haoran (author)Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss. It is crucial to develop a reliable weather forecasting system that can predict such extreme events to mitigate the effect of heavy precipitation and increase resilience to these hazards....master thesis 2022
- document
-
Dai, Renjie (author)Workflow analysis aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations can be made and evaluated by algorithms rather than human experts. For our study, we mount five calibrated cameras from different angles in a Catheterization Laboratory (Cath Lab) to...master thesis 2022
- document
-
CHEN, ENPU (author)In inspection and display scenarios, reconstructing and rendering the entire surface of a building is a critical step in presenting the overall condition of the building. In building reconstruction, most works are based on point clouds because of their enhanced availability. In recent years, neural radiance fields (NeRF) have become a common...master thesis 2022
- document
-
Zeng, Jinchen (author)Surgical workflow analysis has gained more importance in operating rooms, which could take responsibility for the working condition, the safety of both patients and surgical personnel, as well as the working efficiency. Focusing on the optimization of the workflow, a set of cameras is installed in the Catheterization Laboratory in Reinier de...master thesis 2022
- document
-
Zheng, Meng (author)Machine learning models are so-called a "black box," which means people can not easily observe the relationship between the output and input or explain the reason for such results. In recent years, much work has been done on interpretable machine-learning, such as Shapley values, counterfactual explanations, partial dependence plots, or saliency...master thesis 2022
- document
-
Wang, Zhiyi (author)Deep-learning models are commonly used in short-term precipitation forecasting. However, most deep-learning models are likely to produce blurry output problems. In order to get realistic and accurate results, AENN, a variant of Generative Adversarial Networks (GANs), has been developed. The AENN implements an additional temporal discriminator to...master thesis 2022
- document
-
Lin, Nan (author)Modular neural networks have received an upsurge of attention lately owing to their unique modular design and potential capacity to decompose complex dynamics and learn interactions among causal variables. Inspired by this potential, we employ the recently introduced Recurrent Independent Mechanisms (RIMs) in the downstream video prediction task...master thesis 2022
- document
-
HU, YANAN (author)In recent years, the expansion of the Internet has brought an explosion of visual information, including social media, medical photographs, and digital history. This massive amount of visual content generation and sharing presents new challenges, especially when searching for similar information in databases —— Content-Based Image Retrieval ...master thesis 2022
- document
-
Zhang, QI (author)In image search, an algorithm tries to identify images in a database that are similar to a query image. Image search has numerous applications. For example, image search can help historians find images of a historical building from a large image database of buildings worldwide. Feature extraction and nearest neighbors methods are standard steps...master thesis 2022
- document
-
Jiang, Yingfeng (author)This thesis presents a method for personnel activities observation, i.e., 3D human pose estimation and tracking, in a Catheterization Laboratory(Cath Lab). We mount five cameras from different angles in the Cath Lab, where surgeons and assistants are in similar clothes while doing surgery. Accurate 3D human pose estimation is the cornerstone of...master thesis 2022
- document
-
Yao, Yuanyuan (author)Typically, people search images by text: users enter keywords and a search engine returns relevant results. However, this pattern has limitations. An obvious drawback is that when searching in one language, users may miss results labelled in other languages. Moreover, sometimes people know little about the object in the image and thus would not...master thesis 2022
- document
-
Wijnands, Ruben (author)In recent years, the increase in brain research led to the development of large-scale brain imaging techniques. With large-scale brain imaging techniques, such as functional magnetic resonance imaging (fMRI), functional connectivity analyses have shown altered connectivity patterns in humans and mice with neurobiological disorders, such as...master thesis 2022
- document
-
Bos, Robert (author), Zheng, Leo (author)In this report, the analysis and design of a system that extracts keyframes from videos is detailed. The need for such a sub-module stems from the similarity of frames in a video. To aid in reducing the computation time of the content based video search engine, the Keyframe Extraction Module reduces the amount of frames by discarding frames that...bachelor thesis 2022
- document
-
Korevaar, Matthijs (author), Hoogland, Lars (author)One of the main problems with Instance-level Image Retrieval in video data is that for longer query videos or large amount of image queries, comparing all of the query images to every extracted frame is time-inefficient. This thesis aims to solve this problem by implementing Nearest Neighbour Search (NNS) algorithms and data compression methods,...bachelor thesis 2022
- document
-
van Oort, Max (author), Hoogeveen, Aron (author)One of the main problems with Instance-Level Image Retrieval in video data is that for query videos with multiple objects of the same instance, extracting features from keyframes of this query video is time consuming. This thesis aims to solve this problem by implementing a Convolutional Neural Network based approach, which significantly reduces...bachelor thesis 2022
- document
-
Koers, Pallas (author)Adaptive Deep Brain Stimulation (aDBS) offers the potential for personalized stimulation strategies for patients with Parkinson's Disease (PD). The closed loop characteristic of this system requires the incorporation of PD relevant biomarkers that determine the patient's need. In order to obtain high quality LFP (Local Field Potential) input...master thesis 2022
- document
-
Salzmann, Elke (author)Autonomous robots are increasingly used in more and more applications, such as warehouse robots, search-and-rescue robots and autonomous vacuum cleaners. These applications are often in environments where the GPS signals are denied or inaccurate, which makes it difficult to localize the robot in an unknown environment. To overcome this problem...master thesis 2021
- document
-
Deutman, Max (author), Groet, Philip (author), van Hooff, Owen (author)This report details the evaluation of current image matching implementations for the use in an image search engine, specifically for digital history. Due to the vastness of historical (digital) libraries this search engine must be able to search all (inter)national databases with equal performance. Current search engines use linguistic keywords...bachelor thesis 2021
- document
-
van Geerenstein, Mathijs (author), van Mastrigt, Philippe (author), Vergroesen, Laurens (author)This research investigates and describes an image search engine for digital history using deep learning technologies. It is part of the Engineering Historical Memory research, contributing to a multilingual and transcultural approach to decode-encode the treasure of human experience and transmit it to the next generation of world citizens. The...bachelor thesis 2021