Merge "Fix pose predictor jank." into oc-dev (53ed7bfc) · Commits · e / os / android_frameworks_native-old

libs/vr/libposepredictor/include/polynomial_predictor.h

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		@@ -19,7 +19,7 @@ class PolynomialPosePredictor : public BufferedPredictor {
		public:
		PolynomialPosePredictor(real regularization = 1e-9)
		: BufferedPredictor(TrainingWindow), regularization_(regularization) {
		static_assert(PolynomialDegree + 1 >= TrainingWindow,
		static_assert(TrainingWindow >= PolynomialDegree + 1,
		"Underconstrained polynomial regressor");
		}

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		@@ -5,7 +5,7 @@
		namespace posepredictor {

		vec3 Predictor::AngularVelocity(const quat& a, const quat& b, real delta_time) {
		const auto delta_q = b.inverse() * a;
		const auto delta_q = a.inverse() * b;
		// Check that delta_q.w() == 1, Eigen doesn't respect this convention. If
		// delta_q.w() == -1, we'll get the opposite velocity.
		return 2.0 * (delta_q.w() < 0 ? static_cast<vec3>(-delta_q.vec()) : delta_q.vec()) / delta_time;

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		#ifndef ANDROID_DVR_LATENCY_MODEL_H_
		#define ANDROID_DVR_LATENCY_MODEL_H_

		#include <vector>

		namespace android {
		namespace dvr {

		// This class holds a rolling average of the sensor latency.
		class LatencyModel {
		public:
		LatencyModel(size_t window_size, double weight_mass_in_window);
		~LatencyModel() = default;

		void AddLatency(int64_t latency_ns);
		int64_t CurrentLatencyEstimate() const {
		return static_cast<int64_t>(rolling_average_);
		}

		private:
		// The rolling average of the latencies.
		double rolling_average_ = 0;

		// The alpha parameter for an exponential moving average.
		double alpha_;
		};

		} // namespace dvr
		} // namespace android

		#endif // ANDROID_DVR_LATENCY_MODEL_H_

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		#include <private/dvr/latency_model.h>

		#include <cmath>

		namespace android {
		namespace dvr {

		LatencyModel::LatencyModel(size_t window_size, double weight_mass_in_window) {
		// Compute an alpha so the weight of the last window_size measurements is
		// weight_mass_in_window of the total weights.

		// The weight in a series of k measurements:
		// alpha + (1 + (1 - alpha) + (1 - alpha)^2 + ... (1 - alpha)^k-1)
		// = alpha x (1 - (1 - alpha) ^ k) / alpha
		// = 1 - (1 - alpha) ^ k
		// weight_mass_in_window = 1 - (1 - alpha) ^ k / lim_k->inf (1 - alpha) ^ k
		// weight_mass_in_window = 1 - (1 - alpha) ^ k / 1
		// 1 - weight_mass_in_window = (1 - alpha) ^ k
		// log(1 - weight_mass_in_window) = k * log(1 - alpha)
		// 10 ^ (log(1 - weight_mass_in_window) / k) = 1 - alpha
		// alpha = 1 - 10 ^ (log(1 - weight_mass_in_window) / k)
		// alpha = 1 - 10 ^ (log(1 - weight_mass_in_window) / window_size)

		alpha_ = 1 - std::pow(10.0, std::log10(1 - weight_mass_in_window) /
		static_cast<double>(window_size));
		}

		void LatencyModel::AddLatency(int64_t latency_ns) {
		rolling_average_ = latency_ns * alpha_ + rolling_average_ * (1 - alpha_);
		}

		} // namespace dvr
		} // namespace android