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- Eye pupil localization with an ensemble of randomized trees103
A framework for eye pupil localization based on an ensemble of randomized regression trees that compares well with reported state-of-the-art and runs in real-time on hardware with limited processing power, such as mobile devices.
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- Fast facial expression recognition using local binary features and shallow neural networks93
The proposed algorithm (LBF-NN) compares favorably with state-of-the-art algorithms while achieving an order of magnitude improvement in execution time.
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- Model-based coding : extraction, coding, and evaluation of face model parameters70
This thesis deals with model-based coding of human faces for low bitrate communication and finds that the appearance and motion of a human face are analysed.
- The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results66
A significant general improvement of results has been observed, which partly compensate for the more difficult sequences introduced into the dataset in VOT-TIR2016.
- AN UPDATED PARAMETERISED FACE62
This report documents an updated version of C ANDIDE, fulfilling the demands set by MPEG-4 and being somewhat less crude.
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- Herbivore grazing—or trampling? Trampling effects by a large ungulate in cold high‐latitude ecosystems59
In replicated factorial experiments, high‐resolution 3D laser scanning was used to quantify lichen volume loss from trampling by a reindeer hoof, and the lichen humidity appears to be an important factor for trampling loss, in addition to the extent of reindeers movement.
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- A method for object detection based on pixel intensity comparisons48
A method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors that uses pixel intensity comparisons in their internal nodes and this makes them able to process image regions very fast.
- A Method for Object Detection Based on Pixel Intensity Comparisons Organized in Decision Trees48
A method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors that uses pixel intensity comparisons in their internal nodes and this makes them able to process image regions very fast.
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- Fitting 3D face models for tracking and active appearance model training44
Two appearance-based methods that only require a simple statistical facial texture model and do not require any information about an empirical or analytical gradient matrix are proposed, since the best search directions are estimated on the fly.
- Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera39
The proposed method includes a novel way of detecting the rails in the imagery, as well as a way to detect anomalies on the railway, using a monocular thermal camera.
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- Face tracking for model‐based coding and face animation35
A face and facial feature tracking system able to extract animation parameters describing the motion and articulation of a human face in real‐time on consumer hardware is presented.
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- Regression-based methods for face alignment: A survey31
The latest development in regression-based approaches that have led towards nearly solving the face alignment problem in an unconstrained scenario are presented and a benchmark comparison of the most successful methods is presented to provide a comprehensive overview of this dynamic research field.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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