Object-detecting system for optical instrument

• US 5,602,944 A
• Filed: 10/31/1994
• Issued: 02/11/1997
• Est. Priority Date: 06/26/1990
• Status: Expired due to Term

• Current Assignee: Fuji Electric Company Limited (Fuji Electric Systems Company Limited)
• Original Assignee: Fuji Electric Company Limited (Fuji Electric Systems Company Limited)
• Inventors: Nishibe, Takashi, Yokoyama, Shotaro
• Primary Examiner(s): COUSO, YON JUNG
• Application Number:
  US08/332,443
• Time in Patent Office: 834 Days
• Field of Search: 382/278, 382/209, 382/276, 382/225, 382/212, 382/216, 356/390, 356/388, 354/408, 354/409
• US Class Current: 382/278
• CPC Class Codes: G02B 7/34 using different areas in a pupil plane

Abstract

An object detecting system for an optical instrument having a pair of image sensors which receive light from objects in the field of view through different optical paths, each image sensor producing a group of image data representing the images of the objects in the field of view. Subgroups are formed from the groups of image data, wherein each subgroup represents image data corresponding to a portion of the field of view, and pairs of subgroups are formed with each pair of subgroups including one subgroup formed from each group of image data and both subgroups in each pair representing the same portion of the field of view. Consecutive overlapping segments of image data from each subgroup in each pair of subgroups are tested for high correlation between corresponding segments of image data from the subgroups of each pair. Clusters of segments of image data with high correlation are distinguished and one of the distinguished clusters is selected on the basis of a predetermined set of criteria.

Claims

1. An object detecting system for an optical instrument having two image sensors that receive light from objects in a field of view through different optical paths, each image sensor producing a group of total image data representing images of the objects in the field of view, comprising:

subgroup sampling means for forming a plurality of paired subgroups of image data from each of said groups of total image data as an inclination angle of an associated portion of the field of view is changed as a variable, each of said plurality of paired subgroups of image data corresponding to a portion of the field of view, said paired subgroup of image data having different inclination angles with respect to an optical axis of said optical instrument;

correlation testing means for obtaining correlation data between both subgroups in each of said paired subgroups of image data as an amount of shifting of image data in the paired subgroups is changed as a variable; and

means for distinguishing clusters of local maximum correlation points on the basis of a predetermined set of criteria, each point is associated with said amount of shifting of image data which corresponds to a maximum correlation in its paired subgroup and also associated with said inclination angles of its paired subgroup.

2. An object detecting system according to claim 1, wherein the subgroup sampling means, the correlation testing means, and the distinguishing means comprise a programmed processor.

3. An object detecting system according to claim 1, wherein said clusters represent objects in the field of view.

4. An object detecting system according to claim 3, wherein said predetermined set of criteria includes a size of an object.

5. An object detecting system according to claim 3, wherein said predetermined set of criteria includes the distance from the optical instrument to an object.

6. An object detecting system according_to claim 3, wherein said predetermined set of criteria includes the distance from the optical axis of a taking lens to an object.

7. An object detecting system according to claim 1, wherein the correlation testing means collects correlation data, representing a degree of correlation between segments of image data, for corresponding segments of image data in each pair of subgroups.

8. An object detecting system according to claim 7, wherein said correlation data is in the form of one-bit data, representing whether the degree of correlation exceeds a threshold amount.

9. An object detecting system according to claim 1, wherein the image sensors are photodiode arrays.

11. An object detecting system according to claim 1, wherein the distance to the object represented by said selected cluster is detected on the basis of where said selected cluster is in an order in which high correlation clusters are obtained.

12. An object detecting system according to claim 1, wherein said two image sensors receive the image of an object through a taking lens, and the taking lens is focused with respect to a selected object on the basis of where said selected cluster is in an order in which high correlation clusters are obtained.

13. An object detecting system according to claim 1, wherein said predetermined set of criteria includes a size of an object.

14. An object detecting system according to claim 1, wherein said predetermined set of criteria includes the distance from the optical instrument to an object.

15. An object detecting system according to claim 1, wherein said predetermined set of criteria includes the distance from the optical axis of a taking lens of the optical instrument to an object.

16. An object detecting system according to claim 1, wherein said correlation data is in the form of one-bit data.

10. A method of detecting an object for an optical instrument having two image sensors that receive light from objects in a field of view through different optical paths, each image sensor producing a group of image data representing images of the objects in the field of view, comprising the steps of:

forming a plurality of paired subgroups of image data from each of said groups of image data as an inclination angle of a portion of the field of view is changed as a variable, each of said paired subgroups corresponding to a portion of the field of view having a different inclination angle with respect to an optical axis of said optical instrument;

obtaining correlation data between both of said paired subgroups of image data as an amount of shifting of image data in the paired subgroups is changed as variables; and

identifying clusters of local maximum correlation points on the basis of a predetermined set of criteria, each point is associated with said amount of shifting of image data which corresponds to a maximum correlation in its paired subgroup and also associated with said inclination angles of its paired subgroup.