We propose an efficient approach towards the solution of the de-palletizing problem, based on active vision. We describe a system comprising an industrial robot and a time of flight laser sensor, which performs the de...
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ISBN:
(纸本)0780365763
We propose an efficient approach towards the solution of the de-palletizing problem, based on active vision. We describe a system comprising an industrial robot and a time of flight laser sensor, which performs the depalletizing task in real time, and independently of lighting conditions. In our case, the target objects are solid boxes of known identical dimensions, neatly layered but with arbitrary orientation within a layer, which are all placed on a platform. The layered structure of the target platform allows for 2D imagery. The system locates the position of the boxes by tracking one of the corners they expose to the laser source. The system locates the desired corners by applying the scan line approximation technique, adapted to fit the needs of our application, to the 2D input data. The advantages of our system over existing applications are its simplicity, robustness, speed and ease of installation.
In this paper we describe techniques for 3D textured model construction of urban areas using acquisition devices such as intensity cameras, as well as 2D laser scanner. Our experimental set up consists of a truck equi...
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ISBN:
(纸本)0769512720
In this paper we describe techniques for 3D textured model construction of urban areas using acquisition devices such as intensity cameras, as well as 2D laser scanner. Our experimental set up consists of a truck equipped with one camera and two fast, inexpensive 2D laser scanner, traveling on city streets under normal traffic conditions. The horizontal laser scans are used to determine the approximate component of motion along the movement of the acquisition vehicle. The vertical scanner is used to build 3D models of the facade of the buildings. To improve the accuracy of localization of the truck and hence our resulting 3D models of the city, two different methods are developed and compared: the first method employs a correlation technique and the second method is based on Markov Monte Carlo localization. Both techniques use digital road maps and aerial photographs in conjunction with laser scans. A fairly accurate textured, 3D model of downtown area has been acquired in a matter of few minutes, limited only by traffic conditions during the data acquisition phase.
In this paper the method of image compression is presented. It is designed for data processing in real-time systems of remotesensing. In the midpoint there are compression algorithm based on component transformation ...
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ISBN:
(纸本)0769507514
In this paper the method of image compression is presented. It is designed for data processing in real-time systems of remotesensing. In the midpoint there are compression algorithm based on component transformation with pixel interpolation and algorithm of stabilization of encoded image forming speed, which procine high compression ratio, stable speed of an output data flow and controlled error of image reconstruction.
This paper presents a supervised fuzzy c-mean (SFCM) classifier for the classification of high dimensional data. The proposed SFCM classifier can be iterative or non iterative to reduce computational time. Comparison ...
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ISBN:
(纸本)0780362985
This paper presents a supervised fuzzy c-mean (SFCM) classifier for the classification of high dimensional data. The proposed SFCM classifier can be iterative or non iterative to reduce computational time. Comparison with the Conventional FCM I clustering technique and the Bayesian classification technique is also presented. Performance results of the three algorithms are presented on simulated and real remotesensing multispectral data, which show improvement in the classification accuracy using the SFCM technique.
In the paper, error resilient coding strategies are proposed and integrated with the high performance significance-linked connected component analysis (SLCCA) wavelet image codec. First, the source bitstream is packet...
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ISBN:
(纸本)0769507514
In the paper, error resilient coding strategies are proposed and integrated with the high performance significance-linked connected component analysis (SLCCA) wavelet image codec. First, the source bitstream is packetized so that the error propagation within the bitstream is minimized. Second, hierarchical resynchronization is applied, i.e., resynchronization markers are inserted in the bitstream after each bit-plane and possibly per each scale Or subband. Third, the significance-links that exploit the cross-scale dependency of wavelet coefficients are reduced. Finally, bit-plane-wise unequal error protection is applied, with the parity bits being exponentially distributed among bit-planes. Extensive performance evaluation over a binary symmetric channel demonstrates the high error resilience and efficiency of the integrated joint source-channel coding strategies with the SLCCA source codec.
This paper presents an architecture of a system for content-based retrieval of remotesensingimages (RSI). This architecture relies on combining results from imageprocessing, patternrecognition and Multimedia Datab...
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This paper presents an architecture of a system for content-based retrieval of remotesensingimages (RSI). This architecture relies on combining results from imageprocessing, patternrecognition and Multimedia Databases. RSI retrieval from a database is based on the notion of image similarity. A novel aspect in the paper is that the degree of similarity among images is refined during a query session, and is computed dynamically based on user-provided texture and color imagepatterns, as well as information on how images were pre-processed before being stored in the database.
An all new type of absolute, optical encoder with ultra-high sensitivity has been developed at NASA's Goddard Space Flight Center.(1) These position measuring encoders are unconventional in that they rely on compu...
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ISBN:
(纸本)0819437581
An all new type of absolute, optical encoder with ultra-high sensitivity has been developed at NASA's Goddard Space Flight Center.(1) These position measuring encoders are unconventional in that they rely on computational patternrecognition of high speed, electronic images made of a moving, backlit scale which carries absolute position information of either linear or rotary format. The patternrecognition algorithms combine edge detection, threshold level sensing, spatial compression, and centroiding along with fault recovery through scale image defect detection. Details of the encoder scale patterns and their design rules and the imageprocessing algorithm which gives these encoders their unique and unparalleled performance characteristics are discussed.
In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to cons...
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ISBN:
(纸本)0964345692
In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to construct the parameters of sub-image blocks to recognize objects, lastly we make use of texture and structure, with spectrum features to classify digital airphoto and recognize ground objects. The experiments show that the method of feature extraction based on wavelet transform can be applied to airphoto.
A methodology based on mathematical morphology to classify for cst cover types in remotesensingimages is presented. The information automatically extracted at higher scales (aerial photographs) by morphological segm...
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ISBN:
(纸本)0769507506;0769507514
A methodology based on mathematical morphology to classify for cst cover types in remotesensingimages is presented. The information automatically extracted at higher scales (aerial photographs) by morphological segmentation approaches is afterwards used to classify different forest cover types at lower scales (satellite images). In this methodology the spectral process is guided by the spatial process, once the previous segmentation of the different textural elements is then used ill the classification procedure, whose the geometrical modelling of rite shape of the training sets of points is also performed. Tests were done in a region of centre Portugal using aerial photographs and Landsat TM images for olive, corkoak, pine and eucalyptus trees.
Clustering has been widely used in areas as patternrecognition, Data Analysis and imageprocessing. Recently, clustering algorithms have been recognized as one of a powerful tool for Data Mining. However, the well-kn...
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Clustering has been widely used in areas as patternrecognition, Data Analysis and imageprocessing. Recently, clustering algorithms have been recognized as one of a powerful tool for Data Mining. However, the well-known clustering algorithms offer no solution to the case of Large Mixed Incomplete Data Sets. In this paper we comment the possibilities of application of the methods, techniques and philosophy of the Logical Combinatorial approach for clustering in these kinds of data sets. We present the new clustering algorithm DGLC for discovering β0-density connected components from large mixed incomplete data sets. This algorithm combines the ideas of Logical Combinatorial patternrecognition with the Density Based Notion of Cluster. Finally, an example is showed in order to illustrate the work of the algorithm.
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