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3DMM has achieved a signi cant impact in the biometrics area and has obtained impressive results in pose and illumination varying face recognition. It is similar to our proposed approach in the sense that both methods are 3D approaches, estimate the pose and illumination, and do synthesis for recognition. However, 3DMM method uses the Phong illumination model, thus it cannot model extended light sources (like the sky) accurately. To overcome this, Zhang and Samaras [19] proposed the SHBMM (3D spherical harmonics basis morphable model) that integrates the spherical harmonics illumination representation into the 3DMM. Although it is possible to repeatedly apply the 3DMM or SHBMM approach to each frame in the video sequence, it is inef cient. Registration of the 3D model to each frame will be needed, which requires a lot of computation and manual work. None of the existing 3DMM approaches integrate tracking and recognition. Also, 3DMM-based methods cannot achieve real-time pose/illumination estimation, which can be achieved with the inverse compositional version of our tracking method. Our proposed method, which integrates 3D motion

(type) expr;

Old-style casts can be used in place of a static_cast, const_cast, or reinterpret_cast in Standard C++ In preStandard C++, only the old-style casts can be used In code intended to be compiled under both C++ and the C language, only the Clanguage cast notation can be used Here are some examples of using the old-style cast notation:

30 Rank (b)

const char *pc = (const char*) pcom; int ival = (int) 314159; extern char *rewrite_str( char* ); char *pc2 = rewrite_str( (char*) pc ); int addr_value = int( &ival );

The old-style cast notation remains supported for backward compatibility with programs written under pre-Standard C++ and to provide a compatible notation with the C language

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Bilateral relationships: In this case, the two operators have a direct peer-to-peer agreement. Brokered relationships: In this case, two operators deal with each other through a brokerage service. Alliances: In this case, each operator has a multi-way relationship with several members within an alliance as needed.

30 Rank (c)

char cval; int ival; float fval; double dval; unsigned int ui;

identify the implicit type conversions, if any, taking place:

(a) (b) (c) (d)

(shown in (a) to (c) respectively) with distance measurement (7.24) against the SHBMM method in reference 19.

= = = =

'a' + 3; ui - ival * 10; ui * fval; ival + fval + dval;

into SHBMM, is a uni ed approach for modeling lighting and motion in a video sequence. We now compare our proposed approach against the SHBMM method of [19], which was shown give better results than 3DMM in [20]. We will also compare our results with the published results of SHBMM method [19] in the later part of this section. Recall that we designed three new Experiments D, E, and F by taking random single images from A, B, and C, respectively. In Figure 7.10, we plot the CMC curve with measurement 1 in Eq. (7.24) (which has the best performance for Experiment A, B, and C) for the Experiments D, E, F and compare them with the ones of the Experiment A, B, and C. For this comparison, we randomly chose images from the probe sequences of Experiments A, B, C and computed the recognition performance over multiple such random sets. Thus the Experiments D, E, and F average the imagebased performance over different conditions. By analyzing the plots in Figure 7.10,

void *pv; int ival; char *pc; double dval; const string *ps;

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