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L.Van Gool, J.Vagemans, and A.Oosterlinck. "Regularity detection as a strategy in object modelling and recognition". SPIE Applications of Artificial Intelligence, 1095:138--149, 1989.

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Verification of Loop Transformations for Real Time.. - Samsom, Franssen.. (1994)   (2 citations)  (Correct)

....The verification methodology is applied on the kernel of the description of a Contour Regularity Detector (CRD) algorithm after pruning. 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 noise [27]. j : 0 . 512 1) i : j . 512 1) begin (cnt : 0 . 64 1) diff[j] i] cnt] tangent[in1] mean[j] i] diff[j] i] in2] end; j : 0 . 512 1) i : j . 512 1) griddiff[j] i] diff[j] i] in2] mean[j] i] j : 0 . 512 1) i : j . 512 1) path[j] i] if (j 0) ....

L.Van Gool, J.Vagemans, and A.Oosterlinck. "Regularity detection as a strategy in object modelling and recognition". SPIE Applications of Artificial Intelligence, 1095:138--149, 1989.


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

.... 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 [i] j] k] f1(tangent[ i; j; k) mean[i] j] f2(diff [i] j] end; i : 0: 511) j : i: 511) grid diff [i] j] f3(diff [i] j] mean[i] j] i : ....

L. Van Gool, J. Vagenmans, A. Oosterlinck. "Regularity detection as a strategy in object modelling and recognition", SPIE Applications of Artificial Intelligence, Vol. 1095, pp. 138-149, 1989.


Automating High Level Control Flow Transformations .. - van Swaaij.. (1992)   (3 citations)  (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 ....

.... 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 algorithm is a M D signal tangent with 4096 signal instances. To understand the dependencies between signals expressed by this abstract algorithm, consider the ....

L. Van Gool, J. Vagenmans, A. Oosterlinck. "Regularity detection as a strategy in object modelling and recognition", SPIE Applications of Artificial Intelligence, Vol. 1095, pp. 138-149, 1989.

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