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Component fusion for face detection in the presence of heteroscedastic noise

引用

25th pattern recognition symposium of the german-association-for-pattern-recognition

作者： Xie, BL Comaniciu, D Ramesh, V Simon, M Boult, T Siemens Corp Res Princeton NJ 08540 USA Siemens AG Informat & Commun Mobile D-81617 Munich Germany Lehigh Univ Dept Comp Engn & Sci Bethlehem PA 18015 USA

ISBN: (纸本)3540408614

Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and illumination changes. A first level of processing is devoted to the detection of individual components, while a second level deals with the fusion of the component detectors. However, the fusion methods investigated up to now neglect the uncertainties that characterize the component locations. We show that this uncertainty carries important information that, when exploited, leads to increased face localization accuracy. We discuss and compare possible solutions taking into account geometrical constraints. the efficiency and usefulness of the techniques are tested with both synthetic and real world examples.

关键词： Face recognition

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Hierarchy of partitions with dual graph contraction

引用

25th pattern recognition symposium of the german-association-for-pattern-recognition

作者： Haxhimusa, Y Kropatsch, W Vienna Tech Univ Inst Comp Aided Automat Pattern Recognit & Image Proc Grp 183 2 A-1040 Vienna Austria

ISBN: (纸本)3540408614

We present a hierarchical partitioning of images using a pairwise similarity function on a graph-based representation of an image. this function measures the difference along the boundary of two components relative to a measure of differences of component's internal differences. this definition attempts to encapsulate the intuitive notion of contrast. Two components are merged if there is a low-cost connection between them. Each component's internal difference is represented by the maximum edge weight of its minimum spanning tree. External differences are the cheapest weight of edges connecting components. We use this idea to find region borders quickly and effortlessly in a bottom-up 'stimulus-driven' way based on local differences in a specific feature, like as in preattentive vision. the components are merged ignoring the details in regions of high-variability, and preserving the details in low-variability ones.

关键词： Graphic methods

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A fast and reliable coin recognition system

引用

29th Annual symposium of the german-association-for-pattern-recognition

作者： Reisert, Marco Ronneberger, Olaf Burkhardt, Hans Univ Freiburg Dept Comp Sci D-79110 Freiburg Germany

ISBN: (纸本)9783540749332

this paper presents a reliable coin recognition system that is based on a registration approach. To optimally align two coins we search for a rotation in order to reach a maximal number of colinear gradient vectors. the gradient magnitude is completely neglected. After a quantization of the gradient directions the computation of the induced similarity measure can be done efficiently in the Fourier domain. the classification is realized with a simple nearest neighbor classification scheme followed by several rejection criteria to meet the demand of a low false positive rate.

关键词： pattern recognition

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Detection of Makeup Presentation Attacks based on Deep Face Representations 25

Detection of Makeup Presentation Attacks based on Deep Face ...

引用

25th International Conference on pattern recognition (ICPR)

作者： Rathgeb, C. Drozdowski, P. Busch, C. Hsch Darmstadt Da Sec Biometr & Internet Secur Res Grp Darmstadt Germany

ISBN: (纸本)9781728188089

Facial cosmetics have the ability to substantially alter the facial appearance, which can negatively affect the decisions of a face recognition. In addition, it was recently shown that the application of makeup can be abused to launch so-called makeup presentation attacks. In such attacks, the attacker might apply heavy makeup in order to achieve the facial appearance of a target subject for the purpose of impersonation. In this work, we assess the vulnerability of a COTS face recognition system to makeup presentation attacks employing the publicly available Makeup Induced Face Spooling (MIFS) database. It is shown that makeup presentation attacks might seriously impact the security of the face recognition system. Further, we propose an attack detection scheme which distinguishes makeup presentation attacks from genuine authentication attempts by analysing differences in deep face representations obtained from potential makeup presentation attacks and corresponding target face images. the proposed detection system employs a machine learning-based classifier, which is trained with synthetically generated makeup presentation attacks utilizing a generative adversarial network for facial makeup transfer in conjunction with image warping. Experimental evaluations conducted using the MIFS database reveal a detection equal error rate of 0.7% for the task of separating genuine authentication attempts from makeup presentation attacks.

关键词： Biometrics face recognition presentation attack detection makeup attack detection deep face representation

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Cross-Lingual Text Image recognition via Multi-Task Sequence to Sequence Learning 25

Cross-Lingual Text Image Recognition via Multi-Task Sequence...

引用

25th International Conference on pattern recognition (ICPR)

作者： Chen, Zhuo Yin, Fei Zhang, Xu-Yao Yang, Qing Liu, Chena-Lin Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit NLPR 95 Zhongguan East Rd Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing 100190 Peoples R China

ISBN: (纸本)9781728188089

this paper considers recognizing texts shown in a source language and translating into a target language, without generating the intermediate source language text image recognition results. We call this problem Cross-Lingual Text Image recognition (CLTIR). To solve this problem, we propose a multi-task system containing a main task of CLTIR and an auxiliary task of Mono-Lingual Text Image recognition (MLTIR) simultaneously. Two different sequence to sequence learning methods, a convolution based attention model and a Bidirectional Long Short-Term Memory (BLSTM) model with Connectionist Temporal Classification (CTC), are adopted for these tasks respectively. We evaluate the system on a newly collected Chinese-English bilingual movie subtitle image dataset. Experimental results demonstrate the multi-task learning framework performs superiorly in both languages.

关键词： Learning systems

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Determining position and fine shape detail in radiological anatomy

引用

25th pattern recognition symposium of the german-association-for-pattern-recognition

作者： Langs, G Peloschek, P Bischof, H Vienna Univ Technol Pattern Recognit & Image Proc Grp 1832 A-1040 Vienna Austria Univ Vienna Dept Diagnost Radiol A-1010 Vienna Austria Graz Univ Technol Inst Comp Graph & Vis A-8010 Graz Austria

ISBN: (纸本)3540408614

In this paper a method is proposed that identifies bone positions and fine structure of bone contours in radiographs by combining active shape models (ASM) and active contours (snakes) resulting in high accuracy and stability. After a coarse estimate of the bone position has been determined by neural nets, an approximation of the contour is obtained by an active shape model. the accuracy of the landmarks and the contour in between is enhanced by applying an iterative active contour algorithm to a set of gray value profiles extracted orthogonally to the interpolation obtained by the ASM. the neural nets obtain knowledge about visual appearance as well as anatomical configuration during a training phase. the active shape model is trained with a set of training shapes, whereas the snake detects the contour with fewer constraints and decreases the influence of a priori knowledge in a controlled manner. this is of particular importance for the assessment of pathological changes of bones like erosive destructions caused by rheumatoid arthritis.

关键词： Bone

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Analysis on a local approach to 3D object recognition

引用

28th Annual symposium of the german-association-for-pattern-recognition

作者： Delponte, Elisabetta Arnaud, Elise Odone, Francesca Verri, Alessandro Univ Genoa DISI Genoa Italy

ISBN: (纸本)3540444122

We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. the object model is derived from the local features extracted and tracked on an image sequence of the object. the recognition phase is based on an SVM classifier. We analyse in depth all the crucial steps of the method, and report very promising results on a dataset of 11 objects, that show how the method is also tolerant to occlusions and moderate scene clutter.

关键词： Object recognition

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Cross-articulation learning for robust detection of pedestrians

引用

28th Annual symposium of the german-association-for-pattern-recognition

作者： Seemann, Edgar Schiele, Bernt Tech Univ Darmstadt D-64287 Darmstadt Germany

ISBN: (纸本)3540444122

Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-class variability of these objects, it is hard to define a model, which is both general and discriminative enough to capture the properties of the category. In this work, we propose an approach, which aims for a suitable trade-off for this problem. On the one hand, the approach is made more discriminant by explicitly distinguishing typical object shapes. On the other hand, the method generalizes well and requires relatively few training samples by cross-articulation learning. the effectiveness of the approach is shown and compared to previous approaches on two datasets containing pedestrians with different articulations.

关键词： Object recognition

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Image Sequence Based Cyclist Action recognition Using Multi-Stream 3D Convolution 25

Image Sequence Based Cyclist Action Recognition Using Multi-...

引用

25th International Conference on pattern recognition (ICPR)

作者： Zernetsch, Stefan Schreck, Steven Kress, Viktor Doll, Konrad Sick, Bernhard Univ Appl Sci Aschaffenburg Aschaffenburg Germany Univ Kassel Kassel Germany

ISBN: (纸本)9781728188089

In this article, we present an approach to detect basic movements of cyclists in real world traffic situations based on image sequences, optical flow (OF) sequences, and past positions using a multi-stream 3D convolutional neural network (3D-ConvNet) architecture. To resolve occlusions of cyclists by other traffic participants or road structures, we use a wide angle stereo camera system mounted at a heavily frequented public intersection. We created a large dataset consisting of 1,639 video sequences containing cyclists, recorded in real world traffic, resulting in over 1.1 million samples. through modeling the cyclists' behavior by a state machine of basic cyclist movements, our approach takes every situation into account and is not limited to certain scenarios. We compare our method to an approach solely based on position sequences. Both methods are evaluated taking into account frame wise and scene wise classification results of basic movements, and detection times of basic movement transitions, where our approach outperforms the position based approach by producing more reliable detections with shorter detection times. Our code and parts of our dataset are made publicly available.

关键词： Large dataset

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Properties of patch based approaches for the recognition of visual object classes

引用

28th Annual symposium of the german-association-for-pattern-recognition

作者： Teynor, Alexandra Rahtu, Esa Setia, Lokesh Burkhardt, Hans Univ Freiburg Dept Comp Sci D-79110 Freiburg Germany Univ Oulu Dept Elect & Informat Sci Oulu Finland

ISBN: (纸本)3540444122

Patch based approaches have recently shown promising results for the recognition of visual object classes. this paper investigates the role of different properties of patches. In particular, we explore how size, location and nature of interest points influence recognition performance. Also, different feature types are evaluated. For our experiments we use three common databases at different levels of difficulty to make our statements more general. the insights given in the conclusion can serve as guidelines for developers of algorithms using image patches.

关键词： Object recognition

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