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Table 2: Classification of known stereo view varieties. The last three variants are introduced in this paper.

in The Space of All Stereo Images
by Steven M. Seitz, Jiwon Kim
"... In PAGE 6: ...r hyperbola. All of the specific quadric view varieties discussed in this paper are generated from a single conic path. It is possible, however, to define quadric views where each row has a different generating path, and these latter views are also subsumed by our framework. Because our classification is comprehensive, we can characterize all previously proposed varieties of stereo images in terms of their generators and corresponding families of quadric epipolar surfaces ( Table2 ). In addition, the classification suggests new varieties of interest, three of which are listed in the table.... ..."

Table 1: Experimental results In order to give a better impression of the spatial re- lations between the occurences of ambiguous and unam- biguous matches the same facts are shown in gure 2. Unambiguous matches appear as white, ambiguous matches as light grey, those produced as unambiguous by fusion are marked as dark grey. Black areas contain pixels for which no matches were found. Figure 3 shows the corresponding range map (brighter grey levels repre- sent shorter distances between the object and the stereo camera system).

in Fusion Of Data From Fuzzy Integral-Based Active And Passive Colour Stereo Vision Systems For Correspondence Identification
by Alois Knoll, Ralf Schröder, André Wolfram 1996
Cited by 3

TABLE 1 Overview of Previous Studies Comparing Different Stimulus Presentation Formats

in Abstract Friend or Foe to Test Results?
by Alma Berneburg

TABLE I Results for a stereo calibrated rig

in Robust Features Tracking for Robotic Applications: Towards 2½D Visual Servoing with Natural Images
by François-Xavier Espiau, Ezio Malis, Patrick Rives

Table 2: Ambiguity on a parse.

in Learning a Syntagmatic and Paradigmatic Structure From Language Data With a Bi-Multigram Model
by Sabine Deligne, Yoshinori Sagisaka

Table 2. Characteristics of stereo vision and sonar

in A sensor fusion based user interface for vehicle teleoperation
by Roger Meier, Terrence Fong, Charles Thorpe, Charles Baur 1999
"... In PAGE 3: ... The stereo vision system and ultrasonic sonars are co- located on a sensor platform (see Figure 1) which may be mounted on a vehicle. We chose these sensors based on their complementary characteristics (see Table2 ) and their wide range of appli- cations in mobile robotics. The stereo vision system is a Small Vision Module (SVM)[7].... ..."
Cited by 10

Table 1: properties of color and stereo metamers

in Perceptual Metamers in Stereoscopic Vision
by Benjamin T. Backus 2002
"... In PAGE 6: ... (See [18] for a review of color metamers). Table1 summarizes several properties of color metamers, and analogous properties of our new stereo metamers. We can approximate the visible spectrum of a light by sampling its power within N different wavelength intervals, where N is large.... ..."
Cited by 1

Table 1: properties of color and stereo metamers

in Perceptual Metamers in Stereoscopic Vision
by Benjamin T. Backus 2002
"... In PAGE 6: ... (See [18] for a review of color metamers). Table1 summarizes several properties of color metamers, and analogous properties of our new stereo metamers. We can approximate the visible spectrum of a light by sampling its power within N different wavelength intervals, where N is large.... ..."
Cited by 1

Table 2: Results of estimated motion parameters from stereo images 4.7 Conclusions Several algorithms for motion extraction have been described in this chapter. For pure translation and pure rotation, linear methods are still favourable and can give reasonable results. For general cases, the availability of two pairs of stereo images leads to a linear method which can give much more reliable results and which does not su er from the ambiguous scale problem existing for any method using a pair of monocular images.

in Visual Guidance Of Robot Motion
by This Thesis Is, Li Fang Gu, Li Fang Gu
"... In PAGE 65: ... The translation vector T is then calculated using Equation 73 once the rotation para- meters are available. The simulation has run 100 times with random noise, and the mean values of the calculated motion parameters are shown in Table2 together with their true values. From the table it can be seen that the estimated motion parameters are very close to their true values although the 3D point coordinates are corrupted with noise.... ..."

Table 1: DSM generation by stereo correlation

in Use of DTMs/DSMs and Orthoimages to Support Building Extraction
by Emmanuel Baltsavias, Scott Mason, Dirk Stallmann 1995
"... In PAGE 4: ...25m was determined to be a good comprise between model- ling accuracy and processing requirements (cf. Table1 ). Figure 3 illustrates the worst Figure 3: DSM results for varying ground sample distances: (a) image of the building;(b) 0.... ..."
Cited by 27
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