排序方式: 共有19条查询结果,搜索用时 15 毫秒
1.
Tuytelaars T. Turina A. Van Gool L. 《IEEE transactions on pattern analysis and machine intelligence》2003,25(4):418-432
We present a geometric framework for the efficient detection of regular repetitions of planar (but not necessarily coplanar) patterns. At the heart of our system, lie the fixed structures of the transformations that describe these regular configurations. The approach detects a number of symmetric configurations that have traditionally been dealt with separately, in that all configurations corresponding to planar homologies are detected. These include important cases such as periodicities, mirror symmetries, and reflections about a point. The approach can handle perspective distortions. It avoids to get trapped in combinatorics; through invariant-based hashing for pattern matching and through Hough transforms for the detection of fixed structures. Additional efficiency and robustness are obtained from the system's ability to "reason" about the consistency of multiple homologies. The performance of the system is demonstrated with several examples. 相似文献
2.
Amir Ghodrati Ali Diba Marco Pedersoli Tinne Tuytelaars Luc Van Gool 《International Journal of Computer Vision》2017,124(2):115-131
In this paper, a new method for generating object and action proposals in images and videos is proposed. It builds on activations of different convolutional layers of a pretrained CNN, combining the localization accuracy of the early layers with the high informativeness (and hence recall) of the later layers. To this end, we build an inverse cascade that, going backward from the later to the earlier convolutional layers of the CNN, selects the most promising locations and refines them in a coarse-to-fine manner. The method is efficient, because (i) it re-uses the same features extracted for detection, (ii) it aggregates features using integral images, and (iii) it avoids a dense evaluation of the proposals thanks to the use of the inverse coarse-to-fine cascade. The method is also accurate. We show that DeepProposals outperform most of the previous object proposal and action proposal approaches and, when plugged into a CNN-based object detector, produce state-of-the-art detection performance. 相似文献
3.
Alexander Thomas Vittorio Ferrari Bastian Leibe Tinne Tuytelaars Luc Van Gool 《Computer Vision and Image Understanding》2009,113(12):1222-1234
Low-level cues in an image not only allow to infer higher-level information like the presence of an object, but the inverse is also true. Category-level object recognition has now reached a level of maturity and accuracy that allows to successfully feed back its output to other processes. This is what we refer to as cognitive feedback. In this paper, we study one particular form of cognitive feedback, where the ability to recognize objects of a given category is exploited to infer different kinds of meta-data annotations for images of previously unseen object instances, in particular information on 3D shape. Meta-data can be discrete, real- or vector-valued. Our approach builds on the Implicit Shape Model of Leibe and Schiele [B. Leibe, A. Leonardis, B. Schiele, Robust object detection with interleaved categorization and segmentation, International Journal of Computer Vision 77 (1–3) (2008) 259–289], and extends it to transfer annotations from training images to test images. We focus on the inference of approximative 3D shape information about objects in a single 2D image. In experiments, we illustrate how our method can infer depth maps, surface normals and part labels for previously unseen object instances. 相似文献
4.
This paper describes ongoing research on vision based mobile robot navigation for wheel chairs. After a guided tour through a natural environment while taking images at regular time intervals, natural landmarks are extracted to automatically build a topological map. Later on this map can be used for place recognition and navigation. We use visual servoing on the landmarks to steer the robot. In this paper, we investigate ways to improve the performance by incorporating inertial sensors. © 2004 Wiley Periodicals, Inc. 相似文献
5.
Speeded-Up Robust Features (SURF) 总被引:61,自引:0,他引:61
6.
Unsupervised Object Discovery: A Comparison 总被引:1,自引:0,他引:1
Tinne Tuytelaars Christoph H. Lampert Matthew B. Blaschko Wray Buntine 《International Journal of Computer Vision》2010,88(2):284-302
The goal of this paper is to evaluate and compare models and methods for learning to recognize basic entities in images in
an unsupervised setting. In other words, we want to discover the objects present in the images by analyzing unlabeled data
and searching for re-occurring patterns. We experiment with various baseline methods, methods based on latent variable models,
as well as spectral clustering methods. The results are presented and compared both on subsets of Caltech256 and MSRC2, data
sets that are larger and more challenging and that include more object classes than what has previously been reported in the
literature. A rigorous framework for evaluating unsupervised object discovery methods is proposed. 相似文献
7.
In this paper we report on our experiments on aligning names and faces as found in images and captions of online news Websites. Developing accurate technologies for linking names and faces is valuable when retrieving or mining information from multimedia collections. We perform exhaustive and systematic experiments exploiting the (a)symmetry between the visual and textual modalities. This leads to different schemes for assigning names to the faces, assigning faces to the names, and establishing name-face link pairs. On top of that, we investigate generic approaches to the use of textual and visual structural information to predict the presence of the corresponding entity in the other modality. The proposed methods are completely unsupervised and are inspired by methods for aligning phrases and words in texts of different languages developed for constructing dictionaries for machine translation. The results are competitive with state-of-the-art performance on the ?Labeled Faces in the Wild? dataset in terms of recall values, now reported on the complete dataset, include excellent precision values, and show the value of text and image analysis for identifying the probability of being pictured or named in the alignment process. 相似文献
8.
Mieke Haesen Jan Meskens Kris Luyten Karin Coninx Jan Hendrik Becker Tinne Tuytelaars Gert-Jan Poulisse Phi The Pham Marie-Francine Moens 《Multimedia Tools and Applications》2013,63(2):331-356
Professional video searchers typically have to search for particular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. We propose the video archive explorer, a video exploration tool that provides visual representations of automatically detected concepts to facilitate individual and collaborative video search tasks. This video archive explorer is developed by employing a user-centred methodology, which ensures that the tool is more likely to fit to the end user needs. A qualitative evaluation with professional video searchers shows that the combination of automatic video indexing, interactive visualisations and user-centred design can result in an increased usability, user satisfaction and productivity. 相似文献
9.
A Comparison of Affine Region Detectors 总被引:42,自引:0,他引:42
K. Mikolajczyk T. Tuytelaars C. Schmid A. Zisserman J. Matas F. Schaffalitzky T. Kadir L. Van Gool 《International Journal of Computer Vision》2005,65(1-2):43-72
The paper gives a snapshot of the state of the art in affine covariant region detectors, and compares their performance on
a set of test images under varying imaging conditions. Six types of detectors are included: detectors based on affine normalization
around Harris (Mikolajczyk and Schmid, 2002; Schaffalitzky and Zisserman, 2002) and Hessian points (Mikolajczyk and Schmid, 2002), a detector of ‘maximally stable extremal regions', proposed by Matas et al. (2002); an edge-based region detector (Tuytelaars and Van Gool, 1999) and a detector based on intensity extrema (Tuytelaars and Van Gool, 2000), and a detector of ‘salient regions', proposed by Kadir, Zisserman and Brady (2004). The performance is measured against changes in viewpoint, scale, illumination, defocus and image compression.
The objective of this paper is also to establish a reference test set of images and performance software, so that future detectors
can be evaluated in the same framework.
First online version published in October, 2005 相似文献
10.