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Table 2: Execution times at full resolution

in Detecting Moving Objects and their Shadows: an evaluation with the PETS2002 dataset
by unknown authors

Table 2. Gratings and Filters Used as Function of Scan Spectral Range With Corresponding Resolution

in InGaAsSb Detectors' Characterization for 2-m
by Science And Technology, Tamer F. Refaat, M. Nurul Abedin, Grady J. Koch, Upendra N. Singh

Table 8: Number of Full Resolution Checks per Second for Each Method.

in Evaluation of Collision Detection Methods for Virtual Reality Fly-Throughs
by Martin Held, James T. Klosowski, Joseph S. B. Mitchell
"... In PAGE 11: ... Averaging over all 20 di erent placements yielded the average cpu-consumption of one full-resolution8 collision check. The resulting numbers of full-resolution checks per second are given in Table8 . Roughly, the ranking of our four algorithms according to the number of full-resolution checks matches the rankings given in Tables 3 and 4.... ..."

Table 8: Number of Full Resolution Checks per Second for Each Method.

in Evaluation of Collision Detection Methods for Virtual Reality Fly-Throughs
by Martin Held, James T. Klosowski, Joseph S.B. Mitchell 1995
Cited by 63

TABLE 1. Spatial Resolution Measurements Normalized to the Full Sensor Size

in Image sensor technology for beam instrumentation
by R. Jung 1998
Cited by 1

Table 3: Four rounds of full resolution with rate staggering.

in Design And Performance Study Of Scalable Video Storage In A Disk-Array-Based Video Server
by Zheng-Ru Lin And, A Disk-array-based, Video Server

Table 1: Classification results for 2460 frames (full resolution)

in Extraction of Mid-Level Semantics from Gesture Videos using a Bayesian Network
by Dimitrios I. Kosmopoulos A, Ilias Maglogiannis B
"... In PAGE 14: ...1. The confusion matrix for 2430 test frames including one to three skin segments (for all signs) is dis- played in Table1 . It is obvious that the most difficult semantics to recognize regard the occlusion type.... ..."

Table 2. Diagnostic resolutions

in Fault Diagnosis in the BIST Environment Based on Bisection of Detected Faults
by Raimund Ubar, Sergei Kostin, Jaan Raik
"... In PAGE 5: ... Experiments were carried out using Turbo Tester toolset [16] for generating pseudorandom test patterns and for fault simulation. The general data of the circuits and test sequences are presented in Table2 . All patterns means the full length of the pseudorandom test sequence, used patterns means the number of efficient patterns which detect new faults, not yet tested by previous patterns (only these patterns are involved in the diagnostic analysis), and No of tested faults means the number of possible stuck-at faults in the circuit to be diagnosed.... ..."

Table 1: Complexity of Benchmark Models. Number of triangles at full resolution (Full Res. Tris) and low resolution (Low Res. Tris), and number of convex pieces at low resolution (Low Res. Pcs).

in Haptic display of interaction between textured models
by Miguel A. Otaduy, Nitin Jain, Avneesh Sud, Ming C. Lin 2004
Cited by 10

Table 1: Complexity of Benchmark Models. Number of triangles at full resolution (Full Res. Tris) and low resolution (Low Res. Tris), and number of convex pieces at low resolution (Low Res. Pcs).

in Haptic Rendering of Interaction between Textured Models
by Miguel Otaduy Nitin, Nitin Jain, Avneesh Sud, Ming C. Lin 2004
Cited by 3
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