58 lines
1.7 KiB
C
58 lines
1.7 KiB
C
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#ifndef ANDROID_DVR_EIGEN_H_
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#define ANDROID_DVR_EIGEN_H_
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#include <Eigen/Core>
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#include <Eigen/Geometry>
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namespace Eigen {
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// Eigen doesn't take advantage of C++ template typedefs, but we can
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template <class T, int N>
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using Vector = Matrix<T, N, 1>;
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template <class T>
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using Vector2 = Vector<T, 2>;
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template <class T>
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using Vector3 = Vector<T, 3>;
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template <class T>
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using Vector4 = Vector<T, 4>;
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template <class T, int N>
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using RowVector = Matrix<T, 1, N>;
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template <class T>
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using RowVector2 = RowVector<T, 2>;
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template <class T>
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using RowVector3 = RowVector<T, 3>;
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template <class T>
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using RowVector4 = RowVector<T, 4>;
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// In Eigen, the type you should be using for transformation matrices is the
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// `Transform` class, instead of a raw `Matrix`.
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// The `Projective` option means this will not make any assumptions about the
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// last row of the object, making this suitable for use as general OpenGL
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// projection matrices (which is the most common use-case). The one caveat
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// is that in order to apply this transformation to non-homogeneous vectors
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// (e.g., vec3), you must use the `.linear()` method to get the affine part of
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// the matrix.
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//
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// Example:
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// mat4 transform;
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// vec3 position;
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// vec3 transformed = transform.linear() * position;
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//
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// Note, the use of N-1 is because the parameter passed to Eigen is the ambient
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// dimension of the transformation, not the size of the matrix iself.
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// However graphics programmers sometimes get upset when they see a 3 next
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// to a matrix when they expect a 4, so I'm hoping this will avoid that.
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template <class T, int N>
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using AffineMatrix = Transform<T, N-1, Projective>;
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} // namespace Eigen
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#endif // ANDROID_DVR_EIGEN_H_
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