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This award is given to the authors of papers that were presented at IAPR MVA 2005 and have been recognized as having the most significant influence on machine vision technologies over the subsequent decade. MVA 2015 Most Influential Paper over the Decade Award is presented to the following three papers. "Human Activity Recognition Using Sequences of Postures" by Vili Kellokumpu, Matti Pietikäinen...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The problem of content based image retrieval is to narrow down the gap between low-level image features and high-level semantic concepts. In this paper, a biased discriminant analysis with feature line embedding (FLE-BDA) is proposed for performance enhancement in the relevance feedback scheme. We try to maximize the margin between relevant and irrelevant samples at local neighborhoods. In the reduced...
Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
Fashion is a major segment in e-commerce with growing importance and a steadily increasing number of products. Since manual annotation of apparel items is very tedious, the product databases need to be organized automatically, e.g. by image classification. Common image classification approaches are based on features engineered for general purposes which perform poorly on specific images of apparel...
Despite 3D object recognition being an ongoing research field for many years, state-of-the-art methods still face problems in real-world situations with clutter, occlusion or non-textured objects. To overcome these problems, recent approaches use multi-view setups exploiting beneficial vantage points of the environment. Minimizing the assumptions on the scene and objects of interest made by these...
Object instance recognition approaches based on the bag-of-words model are severely affected by the loss of spatial consistency during retrieval. As a result, costly RANSAC verification is needed to ensure geometric consistency between the query and the retrieved images. A common alternative is to inject geometric information directly into the retrieval procedure, by endowing the visual words with...
Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. Particularly, one-shot reconstruction using a projector-camera system (pro-cam) has attracted considerable attention as it can reconstruct the full 3D shape from a single image and it is therefore suitable for capturing moving objects. However, one-shot measurement methods have the issue that the projection...
3D modeling of point clouds is an important but time-consuming process, inspiring extensive research in automatic methods. Prior efforts focus on primitive geometry, street structures or indoor objects, but industrial data has rarely been pursued. Our work presents a method for automatic modeling and recognition of 3D industrial site point clouds, dividing the task into 3 separate sub-problems: pipe...
Reliable surface normal computation is fundamental for a broad range of computer vision application areas, e.g. object segmentation, classification and recognition. Naturally, the surface normal is computed on the acquired depth data, whereby the normal quality is dependent on noise performance and resolution of the underlying image modality. The tendency of combining different imaging sensors into...
CMP SfM Web Service is a remote procedure call service operated at the Center of Machine Perception (CMP) of the Czech Technical University in Prague. The majority of available procedures are implementations of Computer Vision methods developed at CMP. The service can be accessed through web page and command line scripting interfaces. This paper presents the service through users' perspective, providing...
The results of fishery investigations are used to estimate the catch size, times fish are caught, and future stocks in the fish culture industry. In Tokoro, Japan, scallop farms are located on gravel, sand, and granule-sand seabed. Seabed videos are necessary to visually estimate the number of scallops of a particular farm. However, there is no automatic technology for measuring resources quantities...
Obstacle detection on the road is a key function for self-driving vehicles. A lot of research has focused on detecting large obstacles such as cars and pedestrians. Small obstacles can also be the source of serious accidents, especially at high speed. We present an approach for detecting anomalies on the road using a higher-order Boltzmann machine. As opposed to conventional anomaly detectors the...
In this article we show some applications of a MRF-based segmentation algorithm applied to real data extracted from a very high resolution image. This algorithm has specific features that enable the extraction of semantic information on the clusters in the form of affinity and geographic position properties. The results of the experiments conducted on this data set are interesting both in terms of...
In order to correct non-uniform backgrounds in thermal images of carbon fiber-reinforced polymers (CFRP), we propose a processing and analysis procedure in this paper. We apply thermographic signal reconstruction (TSR) using time-direction information to reduce noise in thermal images, followed by Whittaker smoothing (WS) to further reduce noise in two-dimensional image space. Finally, polynomial...
In this paper, a method for generating the HDR images in the common devices is introduced. It can be done without computing the step of tone mapping compression. By using the dodge and burn technique with the pyramid-based technique, the resulted image can achieve both in global and local information. Firstly, a set of different exposed images in each pixel is measured for representing the well-exposed...
The success of dental implant surgery is subject to accurate advanced planning. In order to properly plan for suitable implant placement, it is necessary for accurate segmentation of the inferior alveolar canal. This paper presents a new approach of a semi-automatic method based on a new and effective active contour model viz. an adaptive diffusion flow active contour model. Cone-beam computed tomography...
Lung cancer is mainly diagnosed by the identification of malignant nodules in the lung parenchyma. For that purpose, the identification of all the possible structures that could be suspicious of lung nodules became a crucial task in any lung cancer computer aided diagnosis (CAD) system. In this paper, a new approach for lung nodule candidate identification is proposed. This method uses a 3D medialness...
High-quality modeling method is required for the virtual reconstruction of ruins using mixed reality. Stone floor is one of the important parts of the ruins. In order to render the stone floor realistically, it requires a high-quality model produced by excavation information. For the reconstruction of the lacked part of stone floor, shape modifying method while maintaining a shape characteristic and...
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