Despite the significantly practical utilities of interior tomography, it still suffers from severe degradation of direct current (DC) shift artifact. Existing literature suggest to introducing prior information of obj...
详细信息
A method for zip code recognition is presented. 2D binary images are input to HAVNET, a neural network which employs the Hausdorff distance as a similarity metric to train the weights which are required to represent t...
详细信息
An efficient framework utilizing both local features and geometrical distribution for detecting facial components is presented. First, candidate facial components are efficiently collected by cascaded boosting of Haar...
详细信息
We propose a robust algorithm which learns an abstract object class model from videos in an unsupervised manner. The model consists of a small set of object parts, each of them highly characteristic for a particular o...
详细信息
ISBN:
(纸本)9784901122092
We propose a robust algorithm which learns an abstract object class model from videos in an unsupervised manner. The model consists of a small set of object parts, each of them highly characteristic for a particular object view. We obtain these parts by automatically determining those object regions that are similar in different object instances. Using such a model we are able to detect objects in arbitrary poses. We successfully validate our approach using the PASCAL Visual Object Challenge 2006 [2] image database which shows promising results. Compared to state of the art approaches we keep the performance while training is done without supervision.
In this paper, we describe an experimental investigation to evaluate the significance of different facial regions of a person in the task of gender classification. For this purpose we use a Support Vector Machine (SVM...
详细信息
Segmentation of connected handwritten Chinese characters is a very difficult task in document image analysis. In this paper, a novel algorithm based on stroke analysis and background thinning is proposed to segment co...
详细信息
CT scans are an exceptional tool for quantitative airway analysis. Due to the complex voxel connectivity and branch structure of the airway, precise and fine segmentation results are difficult to accomplish. We propos...
详细信息
We present a method for recovering 3D shapes of deformable surfaces from monocular image sequences. State-of-the-art methods on this problem [1] utilize L∞-norm of reprojection residual vectors and formulate the trac...
详细信息
Faults of sensor data will always present in sensor networks because of unreliable communication links, measurement interference and harsh environment. Developing fusion algorithms that can tolerate faults is necessar...
详细信息
ISBN:
(纸本)9781849191388
Faults of sensor data will always present in sensor networks because of unreliable communication links, measurement interference and harsh environment. Developing fusion algorithms that can tolerate faults is necessary for reliable sensor network applications. In this paper, we study the fault tolerant fusion for moving vehicle classification based on Marzullo's interval fusion algorithm. The unreliable sensor data are represented using interval estimations. To reduce communication cost, quantized interval representation is adopted. Simulation results demonstrate the validity of the interval fusion algorithm. By using quantized representation, the communication cost is reduced.
This paper presents a new logarithmic-time algorithm which simultaneously assigns labels to all connected components of a binary image in parallel. The irregular graph pyramid of an input binary image is constructed b...
详细信息
暂无评论