Abstract—In this paper, we present Confetti, a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

We introduce the concept of a transformation-invariant covariance matrix of a set of points to efficiently determine splat sizes in a multiresolution hierarchy.

Abstract: We present Confetti, a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

Abstract. In this paper we present a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

In this paper, we present Confetti, a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

We introduce the concept of a transformation-invariant covariance matrix of a set of points to efficiently determine splat sizes in a multiresolution hierarchy.

In this paper, we present Confetti, a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

In this paper we present a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

In this paper we present a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces.

We introduce the concept of a transformation-invariant covariance matrix of a set of points to efficiently determine splat sizes in a multiresolution hierarchy.