import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { SearchFacesRequest, SearchFacesResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link SearchFacesCommand}.
 */
export interface SearchFacesCommandInput extends SearchFacesRequest {
}
/**
 * @public
 *
 * The output of {@link SearchFacesCommand}.
 */
export interface SearchFacesCommandOutput extends SearchFacesResponse, __MetadataBearer {
}
declare const SearchFacesCommand_base: {
    new (input: SearchFacesCommandInput): import("@smithy/core/client").CommandImpl<SearchFacesCommandInput, SearchFacesCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: SearchFacesCommandInput): import("@smithy/core/client").CommandImpl<SearchFacesCommandInput, SearchFacesCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>For a given input face ID, searches for matching faces in the collection the face
 *       belongs to. You get a face ID when you add a face to the collection using the <a>IndexFaces</a> operation. The operation compares the features of the input face with
 *       faces in the specified collection. </p>
 *          <note>
 *             <p>You can also search faces without indexing faces by using the
 *           <code>SearchFacesByImage</code> operation.</p>
 *          </note>
 *          <p> The operation response returns an array of faces that match, ordered by similarity
 *       score with the highest similarity first. More specifically, it is an array of metadata for
 *       each face match that is found. Along with the metadata, the response also includes a
 *         <code>confidence</code> value for each face match, indicating the confidence that the
 *       specific face matches the input face. </p>
 *          <p>For an example, see Searching for a face using its face ID in the Amazon Rekognition
 *       Developer Guide.</p>
 *          <p>This operation requires permissions to perform the <code>rekognition:SearchFaces</code>
 *       action.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, SearchFacesCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, SearchFacesCommand } = require("@aws-sdk/client-rekognition"); // CommonJS import
 * // import type { RekognitionClientConfig } from "@aws-sdk/client-rekognition";
 * const config = {}; // type is RekognitionClientConfig
 * const client = new RekognitionClient(config);
 * const input = { // SearchFacesRequest
 *   CollectionId: "STRING_VALUE", // required
 *   FaceId: "STRING_VALUE", // required
 *   MaxFaces: Number("int"),
 *   FaceMatchThreshold: Number("float"),
 * };
 * const command = new SearchFacesCommand(input);
 * const response = await client.send(command);
 * // { // SearchFacesResponse
 * //   SearchedFaceId: "STRING_VALUE",
 * //   FaceMatches: [ // FaceMatchList
 * //     { // FaceMatch
 * //       Similarity: Number("float"),
 * //       Face: { // Face
 * //         FaceId: "STRING_VALUE",
 * //         BoundingBox: { // BoundingBox
 * //           Width: Number("float"),
 * //           Height: Number("float"),
 * //           Left: Number("float"),
 * //           Top: Number("float"),
 * //         },
 * //         ImageId: "STRING_VALUE",
 * //         ExternalImageId: "STRING_VALUE",
 * //         Confidence: Number("float"),
 * //         IndexFacesModelVersion: "STRING_VALUE",
 * //         UserId: "STRING_VALUE",
 * //       },
 * //     },
 * //   ],
 * //   FaceModelVersion: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param SearchFacesCommandInput - {@link SearchFacesCommandInput}
 * @returns {@link SearchFacesCommandOutput}
 * @see {@link SearchFacesCommandInput} for command's `input` shape.
 * @see {@link SearchFacesCommandOutput} for command's `response` shape.
 * @see {@link RekognitionClientResolvedConfig | config} for RekognitionClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>You are not authorized to perform the action.</p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>Input parameter violated a constraint. Validate your parameter before calling the API
 *       operation again.</p>
 *
 * @throws {@link ProvisionedThroughputExceededException} (client fault)
 *  <p>The number of requests exceeded your throughput limit. If you want to increase this
 *       limit, contact Amazon Rekognition.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>The resource specified in the request cannot be found.</p>
 *
 * @throws {@link ThrottlingException} (server fault)
 *  <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link RekognitionServiceException}
 * <p>Base exception class for all service exceptions from Rekognition service.</p>
 *
 *
 * @example To delete a face
 * ```javascript
 * // This operation searches for matching faces in the collection the supplied face belongs to.
 * const input = {
 *   CollectionId: "myphotos",
 *   FaceId: "70008e50-75e4-55d0-8e80-363fb73b3a14",
 *   FaceMatchThreshold: 90,
 *   MaxFaces: 10
 * };
 * const command = new SearchFacesCommand(input);
 * const response = await client.send(command);
 * /* response is
 * {
 *   FaceMatches: [
 *     {
 *       Face: {
 *         BoundingBox: {
 *           Height: 0.3259260058403015,
 *           Left: 0.5144439935684204,
 *           Top: 0.15111100673675537,
 *           Width: 0.24444399774074554
 *         },
 *         Confidence: 99.99949645996094,
 *         FaceId: "8be04dba-4e58-520d-850e-9eae4af70eb2",
 *         ImageId: "465f4e93-763e-51d0-b030-b9667a2d94b1"
 *       },
 *       Similarity: 99.97222137451172
 *     },
 *     {
 *       Face: {
 *         BoundingBox: {
 *           Height: 0.16555599868297577,
 *           Left: 0.30963000655174255,
 *           Top: 0.7066670060157776,
 *           Width: 0.22074100375175476
 *         },
 *         Confidence: 100,
 *         FaceId: "29a75abe-397b-5101-ba4f-706783b2246c",
 *         ImageId: "147fdf82-7a71-52cf-819b-e786c7b9746e"
 *       },
 *       Similarity: 97.04154968261719
 *     },
 *     {
 *       Face: {
 *         BoundingBox: {
 *           Height: 0.18888899683952332,
 *           Left: 0.3783380091190338,
 *           Top: 0.2355560064315796,
 *           Width: 0.25222599506378174
 *         },
 *         Confidence: 99.9999008178711,
 *         FaceId: "908544ad-edc3-59df-8faf-6a87cc256cf5",
 *         ImageId: "3c731605-d772-541a-a5e7-0375dbc68a07"
 *       },
 *       Similarity: 95.94520568847656
 *     }
 *   ],
 *   SearchedFaceId: "70008e50-75e4-55d0-8e80-363fb73b3a14"
 * }
 * *\/
 * ```
 *
 * @public
 */
export declare class SearchFacesCommand extends SearchFacesCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: SearchFacesRequest;
            output: SearchFacesResponse;
        };
        sdk: {
            input: SearchFacesCommandInput;
            output: SearchFacesCommandOutput;
        };
    };
}