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C.Y. Lee, F. Catthoor, H. De Man, "Real-Time Regularity Detection for Robot Vision Using a Customized Architectural Approach", IEEE International Symposium on Circuits and Systems, New Orleans, 1990.

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Modeling Data Flow and Control Flow for High Level.. - van Swaaij.. (1992)   (1 citation)  Self-citation (Catthoor De man)   (Correct)

....algorithms this dimensionality is low enough to ensure fast model extraction. Table 1 presents some performance results of the implemented model extraction tool for a DECstation 3100. The first test vehicle is a complete version of a real life image contour regularity detector (CRD) algorithm [5]. This test vehicle has been chosen to demonstrate that even for the complete algorithm the model extraction requires little CPU time. However, techniques are available to prune the original SFG, leading to a substantial complexity reduction [2] The second test vehicle corresponds to the output ....

C.Y. Lee, F. Catthoor, H. De Man, "Real-Time Regularity Detection for Robot Vision Using a Customized Architectural Approach", IEEE International Symposium on Circuits and Systems, New Orleans, 1990.


Modeling Data Flow and Control Flow for DSP System Synthesis - van Swaaij, Franssen, al. (1994)   (1 citation)  Self-citation (Catthoor De man)   (Correct)

....with node space to node space signal dependencies. 9. 3 Example of optimizing control flow for HLMM In this section, the theory of control flow modeling and transformation will be applied in the design of a memory management scheme for a simplified Contour Regularity Detector (CRD) algorithm [27]. This algorithm is used in a robot vision application where robust contour tracing has to be performed on complex images corrupted by the presence of noisy [56] Example 9 func main(tangent : word[4096] path : bool[ begin (i : 0: 511) j : i: 511) begin (k : 0: 63) diff ....

....the model Published in :11301 Methodologies for VLSI DSP Architectures and Applications, M.Bayoumi (ed. Kluwer, Boston, 1994 . See Kluwer copyright procedure 1994. extraction tool, implemented in C , for a DECstation 3100. The first test vehicle is the complete version of the (CRD) algorithm [27]. This test vehicle has been chosen to demonstrate that even for the complete algorithm the model extraction requires little CPU time. However, techniques are available to prune the original SFG, leading to a substantial complexity reduction [13] The second test vehicle corresponds to the output ....

C.Y. Lee, F. Catthoor, H. De Man, "Real-Time Regularity Detection for Robot Vision Using a Customized Architectural Approach", IEEE International Symposium on Circuits and Systems, New Orleans, May 1990.


Automating High Level Control Flow Transformations .. - van Swaaij.. (1992)   (3 citations)  Self-citation (Catthoor De man)   (Correct)

....in typical DSP algorithms. Therefore, both PDG modeling and optimization complexity are independent of problem size parameters. Demonstrator The control flow optimization technique is demonstrated by means of a real life test vehicle, the kernel of the Contour Regularity Detector (CRD) algorithm [13, 4]. The CRD algorithm is part of a robot vision application where robust contour tracing has to be performed on complex images corrupted by the presence of noise [13] The algorithm is specified [4] in a procedural language, corresponding to the abstract Silage code of figure 6: The input of the ....

.... means of a real life test vehicle, the kernel of the Contour Regularity Detector (CRD) algorithm [13, 4] The CRD algorithm is part of a robot vision application where robust contour tracing has to be performed on complex images corrupted by the presence of noise [13] The algorithm is specified [4] in a procedural language, corresponding to the abstract Silage code of figure 6: The input of the algorithm is a M D signal tangent with 4096 signal instances. To understand the dependencies between signals expressed by this abstract algorithm, consider the following line of code extracted from ....

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C.Y. Lee, F. Catthoor, H. De Man, "Real-Time Regularity Detection for Robot Vision Using a Customized Architectural Approach", IEEE Int. Symposium on Circuits and Systems, New Orleans, May 1990.

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