1 SamplingStrategy

pose_generation.types.SamplingStrategy()

Angular sampling strategy for candidate directions on S^2.

The strategy controls how unit directions on the sphere \(\mathbb{S}^2\) are drawn for both:

positional sampling of candidate camera centers (see pose_generation.samplers.PositionSampler), and
optional view-direction jitter in the camera frame (see pose_generation.orientations.OrientationBuilder).

1.1 Attributes

Name	Description
UNIFORM_SPHERE	Draw directions uniformly on \(\mathbb{S}^2\) using a `HypersphericalUniform` distribution (constant
FORWARD_POWERSPHERICAL	Draw directions from a forward-biased Power Spherical distribution \(\mathcal{PS}(\mu, \kappa)\) centered on

# SamplingStrategy { #aria_nbv.pose_generation.types.SamplingStrategy }

```python
pose_generation.types.SamplingStrategy()
```

Angular sampling strategy for candidate directions on S^2.

The strategy controls how unit directions on the sphere $\mathbb{S}^2$ are drawn for both:

* positional sampling of candidate camera centers (see `pose_generation.samplers.PositionSampler`), and
* optional view-direction jitter in the camera frame (see `pose_generation.orientations.OrientationBuilder`).

## Attributes

| Name | Description |
| --- | --- |
| [UNIFORM_SPHERE](#aria_nbv.pose_generation.types.SamplingStrategy.UNIFORM_SPHERE) | Draw directions uniformly on $\mathbb{S}^2$ using a `HypersphericalUniform` distribution (constant |
| [FORWARD_POWERSPHERICAL](#aria_nbv.pose_generation.types.SamplingStrategy.FORWARD_POWERSPHERICAL) | Draw directions from a forward-biased Power Spherical distribution $\mathcal{PS}(\mu, \kappa)$ centered on |