Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications
Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities
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23 Result(s)
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Marcin Grzegorzek
Computer Science
Artificial Intelligence
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Article
Open AccessSkeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Furthermore, we see skeleton GTs used not only for t...
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Article
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification
Microscopic image analysis technology helps solve the inadvertences of artificial traditional methods in disease, wastewater treatment, and environmental change monitoring analysis. Convolutional neural networ...
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Article
Open AccessWhat can machine vision do for lymphatic histopathology image analysis: a comprehensive review
Over the past 10 years, machine vision (MV) algorithms for image analysis have been develo** rapidly with computing power. At the same time, histopathological slices can be stored as digital images. Therefor...
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Article
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional manual microscopic detection methods have the disadvantages...
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Article
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer
Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and food and drug production. The ...
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Chapter and Conference Paper
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
Blood testing has always been one of the important methods for disease diagnosis, but currently, blood testing instruments face the problems of long time consumption, complex processes, and limited detection t...
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Chapter and Conference Paper
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect
Blood testing is an important basis for the diagnosis of many diseases. However, the accuracy of detection instruments in hospitals is often not high, and manual detection of blood samples is sometimes necessa...
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Article
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. Therefore, WSI analysis has become th...
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Article
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Microorganisms such as bacteria and fungi play essential roles in many application fields, like biotechnique, medical technique and industrial domain. Microorganism counting techniques are crucial in microorga...
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Chapter and Conference Paper
Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Owing to the difficulty and subjectivity of human interpretation, dermoscopy image analysis...
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Chapter and Conference Paper
Classification of Physiological Data for Emotion Recognition
Emotion recognition is seen to be important not only for computer science or sport activity but also for old and sick people to live independently in their own homes as long as possible. In this paper Empatica...
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Chapter and Conference Paper
Integration of Multi-modal Cues in Synthetic Attention Processes to Drive Virtual Agent Behavior
Simulations and serious games require realistic behavior of multiple intelligent agents in real-time. One particular issue is how attention and multi-modal sensory memory can be modeled in a natural but effect...
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Chapter and Conference Paper
Convoy Detection in Crowded Surveillance Videos
This paper proposes detection of convoys in a crowded surveillance video. A convoy is defined as a group of pedestrians who are moving or standing together for a certain period of time. To detect such convoys, we...
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Chapter and Conference Paper
Shape-Based Eye Blinking Detection and Analysis
Methods for eye analysis be to people with certain disabilities in interaction with technical systems, to analyse human deceptive behaviour, in driver fatigue assessment, etc. In this paper we introd...
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Chapter and Conference Paper
Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram
Environmental Microbiology (EM) is an field, the usage of microorganisms. Traditionally, researchers look for the information of microorganisms by checking references or consulting experts. However...
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Chapter and Conference Paper
Shape Matching Using Point Context and Contour Segments
This paper proposes a novel method to generate robust contour partition points and applies them to produce point context and contour segment features for shape matching. The main idea is to match object shapes...
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Chapter
Video Retrieval Based on Uncertain Concept Detection Using Dempster–Shafer Theory
For a long time, it was difficult to automatically extract meanings from video shots, because, even for a particular meaning, shots are characterized by signifincantly different visual appearances, camera t...
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Chapter
Matching of 3D Objects Based on 3D Curves
In this chapter, we introduce a novel approach to 3D object retrieval capable to match query objects generated by a user with those captured by a depth device (RGB-D). Our processing pipeline consists of sever...
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Book
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Chapter and Conference Paper
Counting Lymphocytes in Histopathology Images Using Connected Components
In this paper, a method for automatic counting of lymphocytes in histopathology images using connected components is presented. Our multi-step approach can be divided into two main parts: processing of histopa...
