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Article
Open AccessSpecies-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features
Access to large image volumes through camera traps and crowdsourcing provides novel possibilities for animal monitoring and conservation. It calls for automatic methods for analysis, in particular, when re-ide...
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Article
Open AccessSurvey of automatic plankton image recognition: challenges, existing solutions and future perspectives
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to follow and under...
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Article
Open AccessToward phytoplankton parasite detection using autoencoders
Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological influence on phytoplankton bloom dynamics. To better understand the impact of phytoplankton paras...
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Chapter and Conference Paper
Re-identification of Saimaa Ringed Seals from Image Sequences
Automatic game cameras are commonly used for monitoring wildlife as they allow to document of the activity of animals in a non-invasive manner. By utilizing a large number of cameras and identifying individual...
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Chapter and Conference Paper
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
In this paper, pelage pattern matching is considered to solve the individual re-identification of the Saimaa ringed seals. Animal reidentification, together with the access to a large amount of image material ...
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Article
Open AccessMatching individual Ladoga ringed seals across short-term image sequences
Automated wildlife reidentification has attracted increasing attention in recent years as it provides a non-invasive tool to identify and to track individual wild animals over time. In this paper, the first st...
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Chapter and Conference Paper
Open-Set Plankton Recognition Using Similarity Learning
Automatic plankton recognition provides new possibilities to study plankton populations and various environmental aspects related to them. Most of the existing recognition methods focus on individual datasets ...
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Chapter and Conference Paper
Plankton Recognition in Images with Varying Size
Monitoring plankton is important as they are an essential part of the aquatic food web as well as producers of oxygen. Modern imaging devices produce a massive amount of plankton image data which calls for aut...
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Chapter and Conference Paper
3D Hand Movement Measurement Framework for Studying Human-Computer Interaction
In order to develop better touch and gesture user interfaces, it is important to be able to measure how humans move their hands while interacting with technical devices. The recent advances in high-speed imag...
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Chapter and Conference Paper
Timber Tracing with Multimodal Encoder-Decoder Networks
Tracking timber in the sawmill environment from the raw material (...
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Chapter and Conference Paper
Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images
Pectoral muscle segmentation is a crucial step in various computer-aided applications of breast Magnetic Resonance Imaging (MRI). Due to imaging artifact and homogeneity between the pectoral and breast region...
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Chapter and Conference Paper
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound
Transmission electron microscopy (TEM) provides information about Inorganic nanoparticles that no other method is able to deliver
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Chapter and Conference Paper
Fine-Grained Wood Species Identification Using Convolutional Neural Networks
This paper considers the wood species identification from images of boards. The identification using only visual features of the surface is a challenging task even for an expert. The task becomes especially di...
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Chapter and Conference Paper
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
The quality control of timber products is vital for the sawmill industry pursuing more efficient production processes. This paper considers the automatic detection of mechanical damages in wooden board surface...
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Chapter and Conference Paper
Comparison of Co-segmentation Methods for Wildlife Photo-identification
Wildlife photo-identification is a commonly used technique to track animal populations over time. Nowadays, due to large image data sets, automated photo-identification is an emerging research topic. To improv...
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Chapter and Conference Paper
Identification of Saimaa Ringed Seal Individuals Using Transfer Learning
The conservation efforts of the endangered Saimaa ringed seal depend on the ability to reliably estimate the population size and to track individuals. Wildlife photo-identification has been successfully utiliz...
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Chapter and Conference Paper
Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment
This paper considers the usability of stereoscopic 3D touch displays. For this purpose extensive subjective experiments were carried out and the hand movements of test subjects were recorded using a two-camera...
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Chapter and Conference Paper
Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation
Segmentation of overlapping convex objects has gained a lot of attention in numerous biomedical and industrial applications. A partial overlap between two or more convex shape objects leads to a shape with con...
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Chapter and Conference Paper
Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies
Three-dimensional human-computer interaction has the potential to form the next generation of user interfaces and to replace the current 2D touch displays. To study and to develop such user interfaces, it is e...
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Chapter and Conference Paper
Framework for Machine Vision Based Traffic Sign Inventory
Automatic traffic sign inventory and simultaneous condition analysis can be used to improve road maintenance processes, decrease maintenance costs, and produce up-to-date information for future intelligent dri...