• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 34,164
Next 10 →

Table 1. Error rates on USPS for varying image sizes and structures of . Image Size Structure Error Rate [%]

in Structured Covariance Matrices for Statistical Image Object Recognition
by Jörg Dahmen, Daniel Keysers, Michael Pitz, Hermann Ney, H. Ney 2000
"... In PAGE 6: ... (10) and (d) full covariance matrix. The results obtained are shown in Table1 . As one would have expected, estimation of a band structured covariance matrix reduces the error rate as com-... ..."
Cited by 7

Table 1: Image processing structure description.

in The Impact of Software Engineering on Image Processing
by David B. Lowe, John R. Leaney
"... In PAGE 5: ... The next stage in the formalisation process would be to identify the components, bounds, and interactions of each of the elements shown in this gure. Table1 illustrates an initial indication of the content of the formalisation of this model (note that this is neither complete nor optimal). The relationships between the various phases and the elements incorporated into each phase can be used to de ne the structure of the eld.... ..."

Table 1. Summary for images on square structure

in Fractal Image Compression on a Pseudo Spiral Architecture
by Huaqing Wang Meiqing, Huaqing Wang, Meiqing Wang, Tom Hintz, Xiangjian He, Qiang Wu

Table 4: Shapeness index I of binary image with different SE. Structuring

in Pattern Spectrum Procedures to study the reconstruction
by P. Radhakrishnan

Table 1. Three Layer-Structured Image Space.

in unknown title
by unknown authors

Table 1. Statistical and Data Analysis Corresponding to the Initial Recognition According to Natural Image and Representation Structural Signal-Based

in Image Processing
by unknown authors 2006
"... In PAGE 9: ... There are several criteria to classify watermarking techniques. Table1 shows some fundamental categories. Visible watermarks can be seen by eyes.... In PAGE 10: ...Type of Document Image, Video, Audio, Text Human Perception Visible, Invisible Working Domain Spatial Domain, Frequency Domain Watermark Type Pseudo Random Number (PRN) sequence, Visual Watermark Information Type Non-Blind, Semi-Blind, Blind Table1 : Categories of watermarking techniques To provide the necessary properties (robustness, invisibility, data capacity, and security), we proposed a new system which make methodology decision based on the ANN classification [10]. This method provides robustness against common geometric attacks.... In PAGE 14: ... and the threshold for each band are given in Table 1. Table1 . Scaling factor .... In PAGE 22: ...6, 0] P 28.6025 Table1 . The anthropometric data used in the eye model with frontal pose.... In PAGE 25: ...Table1 .... In PAGE 25: ... Three different QP offsets, 0, -6, -12, were selected for the study. Table1 illustrates the changes in quality by using the different ROI parameters while Figure 1 provides an example. The different parameters resulted in a total of 18 encod- ing combinations.... In PAGE 25: ... The participants also preferred -6 QP offset. Table1 shows that with no offset, the face was not clear enough and at -12 QP offset, the distortions in the hands was too much relative to the improvement of the face. Fig.... In PAGE 33: ... The average bitrate mR corresponding to the initial recog- nition was noted for both the structural and signal-based rep- resentations, and the standard deviation sR of the initial recog- nition bitrates were computed for each representation. Columns two through five of Table1 summarize these statistics. Larger standard deviations reflected a difficulty in recognizing the content.... In PAGE 34: ... Normal- izing mR for signal-based representations by RVL specifies the average recognition bitrate as a percentage of the visually lossless bitrate. The normalized mR and RVL are listed in the sixth and seventh columns, respectively, of Table1 . The average normalized recognition bitrate mR/RVL for all nine images is 0.... In PAGE 34: ...bout 1.15 cpd is preserved. These observations indicate that information valuable for recognition resides in the higher fre- quency content. The eighth and ninth columns of Table1 list the percentage of the average recognition rate mR when ex- cluding the LL band and the average recognition rate when excluding the LL band mRnoLL, respectively. Excluding the images difficult to recognize, indicated by an asterisk, the pro- portions span over the small interval of 0.... In PAGE 34: ...ortions span over the small interval of 0.79 to 0.85.The values in column eight of Table1 support the assertion that more information which is used by observers for recognition is available in the higher frequency content. Note further that the proportion of information is nearly constant with an aver- age of 0.... In PAGE 52: ...92s 26047 48.094s Table1 The comparison of time and computation consumption From the results, we can see the gradient search and exhaustive search both can reach the right registration result. Because of the fewer number of points required for search, the gradient algorithm needs less searching time comparing with the exhaustive search.... ..."

Table 2: Structures Evolved in Setup A. The left-hand images show the structure before scaffolding (grey) is re- moved, and the right-hand images show the final, stable structure. The small black sphere shows the location of the turtle.

in Crossing the Fabrication Gap: Evolving Assembly Plans to Build 3-D Objects
by John Rieffel
"... In PAGE 4: ...4.1 Results Table2 contains representative results derived from Setup A. The figures on the left hand side show the structure be- fore scaffolding was removed, and the figures on the right hand side show the final, stable structure.... ..."

Table 1: Advantages and disadvantages of structured and image-based document representa- tions compared. See the text for a discussion.

in The future of document imaging in the era of electronic documents
by Thomas M. Breuel 2005
"... In PAGE 18: ... Such an implementation of cut-and-paste operates universally, irrespective of the particular implementation or representation of content that an application is using2. A comparison of capabilities of structured and image-based document representations is shown in Table1 . We note a number of advantages of image-based representations over structured representations of documents: more intuitive behavior, ability to represent arbitrary content, simple format conversions, lower up-front investment in markup, and improved privacy and security.... ..."
Cited by 3

Table 5: Confusion matrix (database #2). Entries presented in rows, e.g., 198 structure class images classi ed as structure, 16 as non-structure, and 41 as intermediate.

in Retrieval By Classification of Images Containing Large Manmade Objects Using Perceptual Grouping
by Qasim Iqbal, J. K. Aggarwal

Table 15: Simultaneous motion and structure from the image invariants#28N = 8 and n =6#29on

in Inner Camera Invariants and Their Applications
by Michael Werman, Maolin Qiu, Subhashis Banerjee, Sumantra Dutta Roy 2001
"... In PAGE 24: ... 7. Table15 , Table 16 and Table 17, show the results of recovering simultaneously both motion and structure #28Section 6.3#29 on the real image sequence, N = 8 and n = 6.... ..."
Cited by 2
Next 10 →
Results 1 - 10 of 34,164
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University